… still achieving accurate segmentation, and UNet … prostate segmentation training data, we
show that ENet model can be used to obtain accurate, fast and clinically acceptable prostate …

… In this manuscript, a deep learning 3D CNN architecture for the automatic segmentation
of the prostate and the zonal anatomy on T2 MRIs, collected from two MRI-vendors, is …

… prostate segmentation and to discover a generalisable solution, we review the state-of-the-art
deep learning algorithms in MR prostate segmentation… for MR prostate segmentation. We …

… Therefore, this work analyzes the use of applying a transfer learning technique for segmenting
MR images for prostate radiotherapy and compares it against training from scratch with a …

… We propose a new CNN architecture for prostate CTV segmentation in TRUS images. Our
proposed architecture computes multi-scale features directly from the input image. These …

… -dimensional (3-D) deep learning-based segmentation algorithm to address the need for
a fast, accurate, and repeatable 3-D segmentation of the prostate on CT images, which does …

… for prostate MRI segmentation and deep learning algorithms … studies, such as deep learning
algorithm performance, MRI … DSC) for prostate segmentation for deep learning algorithms …

… different deep learning methods for whole-gland and zonal prostate segmentation. … In this
study, the feasibility and efficacy of three DL models for the segmentation of the prostate and its …

… We propose a hybrid deep learning framework that combines the accuracy of an active …
with the semantic segmentation performed by a CNN. In particular, traditional and deep learning …

… -task deep learning method for an automatic prostate CTV … and learning-based prior knowledge
modeling for prostate … and noisy regions across the prostate boundary, while being less …