The recent rise of deep learning (DL) and its promising capabilities in capturing non-explicit
detail from large datasets have attracted substantial research attention in the field of medical …

Introduction Long-term outcomes from large cohorts are not yet available upon which to
base recommended follow-up protocols after prostate focal therapy. This is an updated …

Background Multiparametric magnetic resonance imaging (mpMRI)-targeted prostate
biopsies can improve detection of clinically significant prostate cancer and decrease the …

New magnetic resonance (MR) molecular imaging techniques offer the potential for
noninvasive, simultaneous quantification of metabolic and perfusion parameters in tumors …

Purpose To codify the use of multiparametric magnetic resonance imaging (mpMRI) for the
interrogation of prostate neoplasia (PCa) in clinical practice and focal therapy (FT). Methods …

Objectives The purpose of this pictorial review is to present a wide spectrum of prostate
multiparametric MRI (mp-MRI) pitfalls that may occur in clinical practice, with radiological …

Purpose We propose an approach of 3D convolutional neural network to segment the
prostate in MR images. Methods A 3D deep dense multi-path convolutional neural network …

Introduction Prostate cancer has traditionally been diagnosed by an elevation in PSA or
abnormal exam leading to a systematic transrectal ultrasound (TRUS)-guided biopsy. This …

Purpose In an era of increasing prostate cancer incidence and earlier detection, the
assessment of clinical significance of prostate cancer is critical. Minimally invasive therapies …

Tissue-preserving focal therapies, such as brachytherapy, cryotherapy, high-intensity
focused ultrasound and photodynamic therapy, aim to target individual cancer lesions rather …