… , a deep learning 3D CNN architecture for the automatic segmentation of the prostate and
the … similar experimental design and deep-learning-based segmentation of the prostate [28]. …

… the feasibility of a machine learning algorithm to segment the prostate and two prostate …
deep learning architecture composed of U-Nets can accurately and rapidly segment the prostate’…

… Deep learning In this work, we propose a method based on deep learning, which is a
neural-network approach in which images are described by a hierarchy of semantic features …

… of the whole prostate, prostatic zones, and candidate clinically significant prostate cancer
lesions, … , with a view towards future deployment into the prostate cancer diagnostic pathway. …

… In this study, the feasibility and efficacy of three DL models for the segmentation of the
prostate and its zones were assessed accounting for accuracy of results, speed of training, and …

… However, prostate MRI assessment relies on human experts … Deep learning may be a more
robust approach for prostate … the prostate zone and cancer region by using SegNet, a deep …

… step for automated characterisation of prostate cancer by … zone (PZ) and of the central gland
(CG), is needed since diagnostic criteria for prostate cancer are different in these two zones […

… and deep learning in facilitating assessments of suspicious lesions detected by radiologists.
… group from the excluded patients with peripheral zone prostate cancer (PZPCa) only, for …

Purpose To develop a deep learning (DL) zonal segmentation model of prostate MR from T2-weighted
images and evaluate TZ-PSAD for prediction of the presence of csPCa (Gleason …

… The locally adaptive network correctly detects the prostate hull for the central gland and
the peripheral zone, despite the large appearance differences of the two structures. …