Prostate Cancer

How artificial intelligence is transforming prostate cancer detection, diagnosis, and treatment.

381 Papers Open Access

Showing all 381 papers

Cited by 3346
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Nat Med, 2019

Open Access
Cited by 1303
A visual-language foundation model for computational pathology

Nat Med, 2024

Open Access
Cited by 1196
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Cell Rep, 2018

Open Access
Cited by 941
Deep learning in medical image registration: a review

Phys Med Biol, 2020

Open Access
Cited by 906
Predicting cancer outcomes with radiomics and artificial intelligence in radiology

Nat Rev Clin Oncol, 2022

Open Access
Cited by 800
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Nat Med, 2022

Open Access
Cited by 648
A foundation model for clinical-grade computational pathology and rare cancers detection

Nat Med, 2024

Open Access
Cited by 627
Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity

Nat Commun, 2018

Open Access
Cited by 605
Role of Androgen Receptor in Prostate Cancer: A Review

World J Mens Health, 2019

Open Access
Cited by 555
Automated Gleason grading of prostate cancer tissue microarrays via deep learning

Sci Rep, 2018

Open Access
Cited by 493
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning

Sci Rep, 2019

Open Access
Cited by 460
Multimodal data fusion for cancer biomarker discovery with deep learning

Nat Mach Intell, 2023

Open Access
Cited by 419
MRI-only based synthetic CT generation using dense cycle consistent generative adversarial networks

Med Phys, 2019

Open Access
Cited by 399
A review on medical imaging synthesis using deep learning and its clinical applications

J Appl Clin Med Phys, 2021

Open Access
Cited by 357
Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

Lancet Oncol, 2024

Open Access
Cited by 318
Deep learning for biomedical photoacoustic imaging: A review

Photoacoustics, 2021

Open Access
Cited by 303
Androgen Receptor Signaling Pathway in Prostate Cancer: From Genetics to Clinical Applications

Cells, 2020

Open Access
Cited by 298
Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review

Prog Biomed Eng (Bristol), 2023

Open Access
Cited by 285
Federated learning improves site performance in multicenter deep learning without data sharing

J Am Med Inform Assoc, 2021

Open Access
Cited by 274
Prostate Cancer Detection using Deep Convolutional Neural Networks

Sci Rep, 2019

Open Access
Cited by 247
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

NPJ Digit Med, 2023

Open Access
Cited by 220
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists

Mod Pathol, 2021

Open Access
Cited by 211
Review of deep learning for photoacoustic imaging

Photoacoustics, 2021

Open Access
Cited by 196
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives

Diagnostics (Basel), 2021

Open Access
Cited by 191
Artificial intelligence: revolutionizing robotic surgery: review

Ann Med Surg (Lond), 2024

Open Access
Cited by 179
Deep learning on automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy

BJU Int, 2019

Open Access
Cited by 177
MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer

Int J Mol Sci, 2016

Open Access
Cited by 173
Synthetic CT generation from MRI using 3D Transformer-based Denoising Diffusion Model

Med Phys, 2024

Open Access
Cited by 172
Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies

Virchows Arch, 2019

Open Access
Cited by 167
Artificial Intelligence Predictive Model for Hormone Therapy Use in Prostate Cancer

NEJM Evidence, 2023

Open Access
Cited by 164
Can the ChatGPT and other large language models with internet-connected database solve the questions and concerns of patient with prostate cancer and help democratize medical knowledge?

J Transl Med, 2023

Open Access
Cited by 161
Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images

IEEE Trans Med Imaging, 2019

Open Access
Cited by 160
Detecting prostate cancer using deep learning convolution neural network with transfer learning approach

Cogn Neurodyn, 2020

Open Access
Cited by 152
Androgen Receptor Signaling in Prostate Cancer and Therapeutic Strategies

Cancers (Basel), 2021

Open Access
Cited by 148
Operating a Treatment Planning System using a Deep-Reinforcement-Learning based Virtual Treatment Planner for Prostate Cancer IMRT Treatment Planning

Med Phys, 2020

Open Access
Cited by 147
PSNet: prostate segmentation on MRI based on a convolutional neural network

J Med Imaging (Bellingham), 2018

Open Access
Cited by 143
Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization

PLoS One, 2019

Open Access
Cited by 140
Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy

Phys Imaging Radiat Oncol, 2019

Open Access
Cited by 136
Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters

Cancers (Basel), 2020

Open Access
Cited by 135
Adaptive Radiation Therapy for Prostate Cancer

Semin Radiat Oncol, 2010

Open Access
Cited by 133
Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning

Phys Med Biol, 2019

Open Access
Cited by 133
High dose-rate brachytherapy in the treatment of prostate cancer

Transl Androl Urol, 2018

Open Access
Cited by 131
4D-CT deformable image registration using multiscale unsupervised deep learning

Phys Med Biol, 2020

Open Access
Cited by 130
A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion

J Magn Reson Imaging, 2021

Open Access
Cited by 129
Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review

Diagnostics (Basel), 2021

Open Access
Cited by 127
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound

IEEE Trans Med Imaging, 2018

Open Access
Cited by 125
An integrated nomogram combining deep learning, PI-RADS scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: A retrospective multicentre study

Lancet Digit Health, 2021

Open Access
Cited by 123
A review of artificial intelligence in prostate cancer detection on imaging

Ther Adv Urol, 2022

Open Access
Cited by 123
Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model adaptation to Different Treatment Planning Practices

Radiother Oncol, 2020

Open Access
Cited by 121
Artificial intelligence-assisted cancer diagnosis improves the efficiency of pathologists in prostatic biopsies

Virchows Arch, 2023

Open Access
Cited by 121
Multimodal microscopy for automated histologic analysis of prostate cancer

BMC Cancer, 2011

Open Access
Cited by 120
Artificial intelligence at the intersection of pathology and radiology in prostate cancer

Diagn Interv Radiol, 2019

Open Access
Cited by 119
Seminal Vesicle Invasion in Prostate Cancer: Evaluation by Using Multiparametric Endorectal MR Imaging

Radiology, 2013

Open Access
Cited by 116
Photoacoustic tomography: a potential new tool for prostate cancer

Biomed Opt Express, 2010

Open Access
Cited by 113
A Circulating MicroRNA Signature as a Biomarker for Prostate Cancer in a High Risk Group

J Clin Med, 2015

Open Access
Cited by 113
A deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies

Sci Rep, 2022

Open Access
Cited by 113
A foundation model for generalizable cancer diagnosis and survival prediction from histopathological images

Nat Commun, 2025

Open Access
Cited by 113
Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images

Sci Rep, 2019

Open Access
Cited by 112
The promising role of new molecular biomarkers in prostate cancer: from coding and non-coding genes to artificial intelligence approaches

Prostate Cancer Prostatic Dis, 2022

Open Access
Cited by 111
Deep learning in photoacoustic imaging: a review

J Biomed Opt, 2021

Open Access
Cited by 110
A review of deep learning-based deformable medical image registration

Front Oncol, 2022

Open Access
Cited by 108
Privacy-preserving federated learning for collaborative medical data mining in multi-institutional settings

Sci Rep, 2025

Open Access
Cited by 105
Fully automated segmentation of prostate whole gland and transition zone in diffusion-weighted MRI using convolutional neural networks

J Med Imaging (Bellingham), 2017

Open Access
Cited by 103
Deep-Learning-Based Artificial Intelligence for PI-RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study

J Magn Reson Imaging, 2020

Open Access
Cited by 102
Development of a Deep Learning Algorithm for the Histopathologic Diagnosis and Gleason Grading of Prostate Cancer Biopsies: A Pilot Study

Eur Urol Focus, 2021

Open Access
Cited by 101
A Systematic Review of Artificial Intelligence in Prostate Cancer

Res Rep Urol, 2021

Open Access
Cited by 100
Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture

BMC Med Inform Decis Mak, 2024

Open Access
Cited by 99
Biomechanically Constrained Non-rigid MR-TRUS Prostate Registration using Deep Learning based 3D Point Cloud Matching

Med Image Anal, 2021

Open Access
Cited by 98
Machine Learning in Prostate MRI for Prostate Cancer: Current Status and Future Opportunities

Diagnostics (Basel), 2022

Open Access
Cited by 97
Focal therapy for prostate cancer: The current status

Prostate Int, 2015

Open Access
Cited by 96
Prostate cancer proteomics: Current trends and future perspectives for biomarker discovery

Oncotarget, 2017

Open Access
Cited by 95
Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative review

Transl Cancer Res, 2022

Open Access
Cited by 93
Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? A multi-center, multi-reader investigation

Oncotarget, 2018

Open Access
Cited by 89
Cancer diagnostic classifiers based on quantitative DNA methylation

Expert Rev Mol Diagn, 2014

Open Access
Cited by 89
Medical Imaging Applications of Federated Learning

Diagnostics (Basel), 2023

Open Access
Cited by 87
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration

Med Image Anal, 2019

Open Access
Cited by 86
Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy

Nat Commun, 2023

Open Access
Cited by 85
Available evidence on HIFU for focal treatment of prostate cancer: a systematic review

Int Braz J Urol, 2022

Open Access
Cited by 85
Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer

Med Phys, 2019

Open Access
Cited by 84
Accuracy, readability, and understandability of large language models for prostate cancer information to the public

Prostate Cancer Prostatic Dis, 2025

Open Access
Cited by 82
A Cascaded Deep Learning-Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging

Acad Radiol, 2022

Open Access
Cited by 81
Spatial modeling of prostate cancer metabolic gene expression reveals extensive heterogeneity and selective vulnerabilities

Sci Rep, 2020

Open Access
Cited by 79
Machine and Deep Learning Prediction of Prostate Cancer Aggressiveness Using Multiparametric MRI

Front Oncol, 2022

Open Access
Cited by 78
A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI

Technol Cancer Res Treat, 2019

Open Access
Cited by 78
Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning-based Prostate Cancer Detection Using Biparametric MRI

Radiol Artif Intell, 2023

Open Access
Cited by 77
Predict Ki-67 Positive Cells in H&E-Stained Images Using Deep Learning Independently From IHC-Stained Images

Front Mol Biosci, 2020

Open Access
Cited by 76
Artificial Intelligence Compared to Radiologists for the Initial Diagnosis of Prostate Cancer on MRI: A Systematic Review and Recommendations for Future Studies

Cancers (Basel), 2021

Open Access
Cited by 73
Explainable AI for CNN-based prostate tumor segmentation in multi-parametric MRI correlated to whole mount histopathology

Radiat Oncol, 2022

Open Access
Cited by 72
Harnessing artificial intelligence for prostate cancer management

Cell Rep Med, 2024

Open Access
Cited by 72
Multiview boosting digital pathology analysis of prostate cancer

Comput Methods Programs Biomed, 2017

Open Access
Cited by 70
Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer

J Cancer Res Clin Oncol, 2024

Open Access
Cited by 70
Research progress on deep learning in magnetic resonance imaging–based diagnosis and treatment of prostate cancer: a review on the current status and perspectives

Front Oncol, 2023

Open Access
Cited by 69
A Hierarchical Deep Reinforcement Learning Framework for Intelligent Automatic Treatment Planning of Prostate Cancer IMRT

Phys Med Biol, 2021

Open Access
Cited by 69
The Role of Perineural Invasion in Prostate Cancer and Its Prognostic Significance

Cancers (Basel), 2022

Open Access
Cited by 67
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer

Radiat Oncol, 2022

Open Access
Cited by 66
Advancements in synthetic CT generation from MRI: A review of techniques, and trends in radiation therapy planning

J Appl Clin Med Phys, 2024

Open Access
Cited by 66
Multi-needle Localization with Attention U-Net in US-guided HDR Prostate Brachytherapy

Med Phys, 2020

Open Access
Cited by 65
An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies

Comput Med Imaging Graph, 2018

Open Access
Cited by 65
Segmentation of prostate and prostate zones using deep learning: A multi-MRI vendor analysis

Strahlenther Onkol, 2020

Open Access
Cited by 64
DiagSet: a dataset for prostate cancer histopathological image classification

Sci Rep, 2024

Open Access
Cited by 64
Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study

Eur J Nucl Med Mol Imaging, 2023

Open Access
Cited by 63
Artificial Intelligence for Clinical Diagnosis and Treatment of Prostate Cancer

Cancers (Basel), 2022

Open Access
Cited by 63
Biomarker Identification through Multiomics Data Analysis of Prostate Cancer Prognostication Using a Deep Learning Model and Similarity Network Fusion

Cancers (Basel), 2021

Open Access
Cited by 63
Prostate cancer microenvironment: multidimensional regulation of immune cells, vascular system, stromal cells, and microbiota

Mol Cancer, 2024

Open Access
Cited by 63
Synthetic CT generation for MRI-guided adaptive radiotherapy in prostate cancer

Front Oncol, 2022

Open Access
Cited by 62
Deep learning-based artificial intelligence for prostate cancer detection at biparametric MRI

Abdom Radiol (NY), 2022

Open Access
Cited by 62
Semi-supervised learning in cancer diagnostics

Front Oncol, 2022

Open Access
Cited by 61
Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects

Cancers (Basel), 2023

Open Access
Cited by 61
Autonomous Detection and Classification of PI-RADS Lesions in an MRI Screening Population Incorporating Multicenter-Labeled Deep Learning and Biparametric Imaging: Proof of Concept

Diagnostics (Basel), 2020

Open Access
Cited by 61
Lesion-Based Bone Metastasis Detection in Chest Bone Scintigraphy Images of Prostate Cancer Patients Using Pre-Train, Negative Mining, and Deep Learning

Diagnostics (Basel), 2021

Open Access
Cited by 61
PSMA PET imaging in the diagnosis and management of prostate cancer

Abdom Radiol (NY), 2023

Open Access
Cited by 60
An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification

Oncotarget, 2016

Open Access
Cited by 58
Fusing hand-crafted and deep-learning features in a convolutional neural network model to identify prostate cancer in pathology images

Front Oncol, 2022

Open Access
Cited by 57
Genomic biomarkers in prostate cancer

Transl Androl Urol, 2018

Open Access
Cited by 57
Interpretable AI for bio-medical applications

Complex Eng Syst, 2022

Open Access
Cited by 57
Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning

NPJ Digit Med, 2021

Open Access
Cited by 56
Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning

Comput Struct Biotechnol J, 2022

Open Access
Cited by 56
Deformable MR-CBCT prostate registration using biomechanically constrained deep learning networks

Med Phys, 2021

Open Access
Cited by 56
Robotic Needle Guide for Prostate Brachytherapy: Clinical Testing of Feasibility and Performance

Brachytherapy, 2011

Open Access
Cited by 55
A Deep Learning Model for Prostate Adenocarcinoma Classification in Needle Biopsy Whole-Slide Images Using Transfer Learning

Diagnostics (Basel), 2022

Open Access
Cited by 55
Computer-aided identification of prostatic adenocarcinoma: Segmentation of glandular structures

J Pathol Inform, 2011

Open Access
Cited by 55
Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality

J Magn Reson Imaging, 2022

Open Access
Cited by 54
A Nomogram Based on a Multiparametric Ultrasound Radiomics Model for Discrimination Between Malignant and Benign Prostate Lesions

Front Oncol, 2021

Open Access
Cited by 53
Combining spatial transcriptomics with tissue morphology

Nat Commun, 2025

Open Access
Cited by 53
Current Value of Biparametric Prostate MRI with Machine-Learning or Deep-Learning in the Detection, Grading, and Characterization of Prostate Cancer: A Systematic Review

Diagnostics (Basel), 2022

Open Access
Cited by 51
Automatic multi-needle localization in ultrasound images using large margin mask RCNN for ultrasound-guided prostate brachytherapy

Phys Med Biol, 2020

Open Access
Cited by 51
Guidelines of guidelines: focal therapy for prostate cancer, is it time for consensus?

BJU Int, 2023

Open Access
Cited by 51
Machine learning methods can more efficiently predict prostate cancer compared with prostate-specific antigen density and prostate-specific antigen velocity

Prostate Int, 2019

Open Access
Cited by 51
Molecular network-based identification of competing endogenous RNAs and mRNA signatures that predict survival in prostate cancer

J Transl Med, 2018

Open Access
Cited by 50
Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer

Cancer Manag Res, 2021

Open Access
Cited by 50
Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data

Radiographics, 2023

Open Access
Cited by 50
Single-cell omics traces the heterogeneity of prostate cancer cells and the tumor microenvironment

Cell Mol Biol Lett, 2023

Open Access
Cited by 49
Deep Adaptive Registration of Multi-modal Prostate Images

Comput Med Imaging Graph, 2020

Open Access
Cited by 49
Radiomics for Identification and Prediction in Metastatic Prostate Cancer: A Review of Studies

Front Oncol, 2021

Open Access
Cited by 48
From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer

Int J Mol Sci, 2022

Open Access
Cited by 48
Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences

Insights Imaging, 2024

Open Access
Cited by 47
Multiparametric MRI and Radiomics in Prostate Cancer: A Review of the Current Literature

Diagnostics (Basel), 2021

Open Access
Cited by 47
Prostate Cancer Detection using Residual Networks

Int J Comput Assist Radiol Surg, 2019

Open Access
Cited by 46
Metastatic Castration-Resistant Prostate Cancer: Insights on Current Therapy and Promising Experimental Drugs

Res Rep Urol, 2023

Open Access
Cited by 44
Automated prostate tissue referencing for cancer detection and diagnosis

BMC Bioinformatics, 2016

Open Access
Cited by 44
Deep Learning in Prostate Cancer Diagnosis Using Multiparametric Magnetic Resonance Imaging With Whole-Mount Histopathology Referenced Delineations

Front Med (Lausanne), 2022

Open Access
Cited by 44
Deep Learning with Quantitative Features of Magnetic Resonance Images to Predict Biochemical Recurrence of Radical Prostatectomy: A Multi-Center Study

Cancers (Basel), 2021

Open Access
Cited by 43
Data-driven translational prostate cancer research: from biomarker discovery to clinical decision

J Transl Med, 2020

Open Access
Cited by 43
Deep Learning Methodologies Applied to Digital Pathology in Prostate Cancer: A Systematic Review

Diagnostics (Basel), 2023

Open Access
Cited by 43
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound

Int J Comput Assist Radiol Surg, 2020

Open Access
Cited by 42
Federated Learning with Research Prototypes: Application to Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology

Acad Radiol, 2023

Open Access
Cited by 41
Impact of Immune Cells in the Tumor Microenvironment of Prostate Cancer Metastasis

Life (Basel), 2023

Open Access
Cited by 39
Advances in Prognostic Methylation Biomarkers for Prostate Cancer

Cancers (Basel), 2020

Open Access
Cited by 39
Computer-aided diagnosis of prostate cancer with MRI

Curr Opin Biomed Eng, 2017

Open Access
Cited by 39
Deep learning-based digitization of prostate brachytherapy needles in ultrasound images

Med Phys, 2020

Open Access
Cited by 39
Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer

Curr Urol Rep, 2023

Open Access
Cited by 39
Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer

Cancers (Basel), 2021

Open Access
Cited by 38
An Integrative Proteomics and Interaction Network-Based Classifier for Prostate Cancer Diagnosis

PLoS One, 2013

Open Access
Cited by 38
Novel Multiparametric Magnetic Resonance Imaging-Based Deep Learning and Clinical Parameter Integration for the Prediction of Long-Term Biochemical Recurrence-Free Survival in Prostate Cancer after Radical Prostatectomy

Cancers (Basel), 2023

Open Access
Cited by 37
Automated Recognition of Cancer Tissues through Deep Learning Framework from the Photoacoustic Specimen

Contrast Media Mol Imaging, 2022

Open Access
Cited by 37
Non-destructive 3D pathology with analysis of nuclear features for prostate cancer risk assessment

J Pathol, 2023

Open Access
Cited by 37
Performance of large language models (LLMs) in providing prostate cancer information

BMC Urol, 2024

Open Access
Cited by 36
Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI

Radiology, 2024

Open Access
Cited by 35
Evaluation of Frequency Domain Analysis of Multiwavelength Photoacoustic Signal for differentiating Malignant from Benign and Normal prostate in an Ex-vivo study with human prostates

J Ultrasound Med, 2016

Open Access
Cited by 35
Prostate Cancer Diagnosis and Characterization with Mass Spectrometry Imaging

Prostate Cancer Prostatic Dis, 2018

Open Access
Cited by 35
Real-world validation of Artificial Intelligence-based Computed Tomography auto-contouring for prostate cancer radiotherapy planning

Phys Imaging Radiat Oncol, 2023

Open Access
Cited by 35
Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification

Diagnostics (Basel), 2021

Open Access
Cited by 34
A machine learning approach to predict progression on active surveillance for prostate cancer

Urol Oncol, 2022

Open Access
Cited by 34
Quantifying the Ki-67 Heterogeneity Profile in Prostate Cancer

Prostate Cancer, 2013

Open Access
Cited by 33
Deep learning-based multimodal spatial transcriptomics analysis for cancer

Adv Cancer Res, 2024

Open Access
Cited by 32
Androgen Receptor Signalling in Prostate Cancer: Mechanisms of Resistance to Endocrine Therapies

Res Rep Urol, 2025

Open Access
Cited by 32
Application of deep learning in cancer epigenetics through DNA methylation analysis

Brief Bioinform, 2023

Open Access
Cited by 32
Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT

Diagnostics (Basel), 2022

Open Access
Cited by 32
Implementation of Machine Learning Mechanism for Recognising Prostate Cancer through Photoacoustic Signal

Contrast Media Mol Imaging, 2022

Open Access
Cited by 29
Automatic segmentation of prostate zonal anatomy on MRI: a systematic review of the literature

Insights Imaging, 2022

Open Access
Cited by 28
A Systematic Review on Artificial Intelligence Evaluating Metastatic Prostatic Cancer and Lymph Nodes on PSMA PET Scans

Cancers (Basel), 2024

Open Access
Cited by 28
Deep learning-based radiomic nomograms for predicting Ki67 expression in prostate cancer

BMC Cancer, 2023

Open Access
Cited by 28
Impact of the tumor microenvironment on host infiltrating cells and the efficacy of flt3-ligand combination immunotherapy evaluated in a treatment model of mouse prostate cancer

Cancer Immunol Immunother, 2003

Open Access
Cited by 28
Prostate cancer treatment recommendation study based on machine learning and SHAP interpreter

Cancer Sci, 2024

Open Access
Cited by 28
Role of Deep Learning in Prostate Cancer Management: Past, Present and Future Based on a Comprehensive Literature Review

J Clin Med, 2022

Open Access
Cited by 27
Computer aided detection in prostate cancer diagnostics: A promising alternative to biopsy? A retrospective study from 104 lesions with histological ground truth

PLoS One, 2017

Open Access
Cited by 27
Systematic Review of AI-Assisted MRI in Prostate Cancer Diagnosis: Enhancing Accuracy Through Second Opinion Tools

Diagnostics (Basel), 2024

Open Access
Cited by 26
A Fully Automatic Artificial Intelligence System Able to Detect and Characterize Prostate Cancer Using Multiparametric MRI: Multicenter and Multi-Scanner Validation

Front Oncol, 2021

Open Access
Cited by 26
A review on federated learning in computational pathology

Comput Struct Biotechnol J, 2024

Open Access
Cited by 26
Artificial Intelligence Techniques for Prostate Cancer Detection through Dual-Channel Tissue Feature Engineering

Cancers (Basel), 2021

Open Access
Cited by 26
Development and validation of a clinic machine-learning nomogram for the prediction of risk stratifications of prostate cancer based on functional subsets of peripheral lymphocyte

J Transl Med, 2023

Open Access
Cited by 26
Machine learning-based prediction model and visual interpretation for prostate cancer

BMC Urol, 2023

Open Access
Cited by 26
Region Segmentation of Whole-Slide Images for Analyzing Histological Differentiation of Prostate Adenocarcinoma Using Ensemble EfficientNetB2 U-Net with Transfer Learning Mechanism

Cancers (Basel), 2023

Open Access
Cited by 25
Deep Learning Modeling of Androgen Receptor Responses to Prostate Cancer Therapies

Int J Mol Sci, 2020

Open Access
Cited by 25
Intentional deep overfit learning for patient-specific dose predictions in adaptive radiotherapy

Med Phys, 2023

Open Access
Cited by 25
MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer

J Zhejiang Univ Sci B, 2023

Open Access
Cited by 25
Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi-institutional, diagnostic study

EClinicalMedicine, 2023

Open Access
Cited by 24
A classifier model for prostate cancer diagnosis using CNNs and transfer learning with multi-parametric MRI

Front Oncol, 2023

Open Access
Cited by 24
Explainable artificial intelligence to predict the risk of side-specific extraprostatic extension in pre-prostatectomy patients

Can Urol Assoc J, 2022

Open Access
Cited by 24
Predicting Prostate Cancer Upgrading of Biopsy Gleason Grade Group at Radical Prostatectomy Using Machine Learning-Assisted Decision-Support Models

Cancer Manag Res, 2020

Open Access
Cited by 24
Treatment Stratification of Patients with Metastatic Castration-Resistant Prostate Cancer by Machine Learning

iScience, 2020

Open Access
Cited by 23
A generalised vision transformer-based self-supervised model for diagnosing and grading prostate cancer using histological images

Prostate Cancer Prostatic Dis, 2025

Open Access
Cited by 23
Bridging the gap between prostate radiology and pathology through machine learning

Med Phys, 2022

Open Access
Cited by 23
Catalyzing Precision Medicine: Artificial Intelligence Advancements in Prostate Cancer Diagnosis and Management

Cancers (Basel), 2024

Open Access
Cited by 23
Future of prostate imaging: Artificial intelligence in assessing prostatic magnetic resonance imaging

World J Radiol, 2023

Open Access
Cited by 23
In vivo MRI based prostate cancer localization with random forests and auto-context model

Comput Med Imaging Graph, 2016

Open Access
Cited by 22
Identification macrophage signatures in prostate cancer by single-cell sequencing and machine learning

Cancer Immunol Immunother, 2024

Open Access
Cited by 22
The Potential of MicroRNAs as Non-Invasive Prostate Cancer Biomarkers: A Systematic Literature Review Based on a Machine Learning Approach

Cancers (Basel), 2022

Open Access
Cited by 21
Can Machine Learning Models Detect and Predict Lymph Node Involvement in Prostate Cancer? A Comprehensive Systematic Review

J Clin Med, 2023

Open Access
Cited by 21
Clinical evaluation of a deep learning CBCT auto-segmentation software for prostate adaptive radiation therapy

Clin Transl Radiat Oncol, 2024

Open Access
Cited by 21
Domain adaptation for segmentation of critical structures for prostate cancer therapy

Sci Rep, 2021

Open Access
Cited by 21
Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model

Diagnostics (Basel), 2021

Open Access
Cited by 21
PSMA PET/CT for prostate cancer diagnosis: current applications and future directions

J Cancer Res Clin Oncol, 2025

Open Access
Cited by 21
Radiomic-based machine learning model for the accurate prediction of prostate cancer risk stratification

Br J Radiol, 2023

Open Access
Cited by 21
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