Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a
clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing …

Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Background The development of deep learning (DL) models for prostate segmentation on
magnetic resonance imaging (MRI) depends on expert-annotated data and reliable …

Abstract Background/Purpose Oropharyngeal cancer (OPC) primary gross tumor volume
(GTVp) segmentation is crucial for radiotherapy. Multiparametric MRI (mpMRI) is …

Background Multiparametric MRI can help identify clinically significant prostate cancer
(csPCa)(Gleason score≥ 7) but is limited by reader experience and interobserver variability …

Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the
greatest threat to world health, with early identification being crucial to patient outcomes and …

There have been major developments in deep learning in computer vision since the 2010s.
Deep learning has contributed to a wealth of data in medical image processing, and …

Purpose The purpose of this study was to perform a systematic review of the literature on the
diagnostic performance, in independent test cohorts, of artificial intelligence (AI)-based …

Background This paper attempts to conduct a systematic review and meta-analysis of deep
learning (DLs) models for cervical cancer CT image segmentation. Methods Relevant …

Magnetic resonance imaging (MRI) is an essential tool for evaluating pelvic disorders
affecting the prostate, bladder, uterus, ovaries, and/or rectum. Since the diagnostic pathway …