Multiparametric magnetic resonance imaging (mpMRI) has emerged as a first-line screening
and diagnostic tool for prostate cancer, aiding in treatment selection and noninvasive …

Dr Baris Turkbey is an associate research physician at the Molecular Imaging Program,
National Cancer Institute, National Institutes of Health. He is a member of the International …

Prostate cancer (PCa) is a major global concern, particularly for men, emphasizing the
urgency of early detection to reduce mortality. As the second leading cause of cancer …

Background Deep learning is the most promising methodology for automatic computer‐
aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp‐MRI). Purpose To …

Prostate cancer is the second leading cause of cancer-related death in men. Its early and
correct diagnosis is of particular importance to controlling and preventing the disease from …

Prostate cancer (PCa) is a significant health concern for men worldwide, where early
detection and effective diagnosis can be crucial for successful treatment. Multiparametric …

We address the problem of prostate lesion detection, localization, and segmentation in T2W
magnetic resonance (MR) images. We train a deep convolutional encoder-decoder …

This review aims to present the applications of deep learning (DL) in prostate cancer
diagnosis and treatment. Computer vision is becoming an increasingly large part of our daily …

Prostate cancer (PCa) is the second most common cause of cancer related deaths in men.
Multiparametric MRI (mpMRI) is the most accurate imaging method for PCa detection; …

Rationale and objectives Prostate MRI improves detection of clinically significant prostate
cancer; however, its diagnostic performance has wide variation. Artificial intelligence (AI) …