… 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 …

… deep-learning methods for segmentation of the prostate. First, we introduce a patch-based
convolutional network that aims to refine the prostate … for end-to-end prostate segmentation by …

… We presented a novel deep learning-based method for detecting boundary points for the
model-based segmentation of the prostate in MR images. We showed that using neural …

… 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 …

… that also utilizes Deep Learning for more accurate prostate segmentation. The AAM … prostate
boundary on the MR images. Then, a deep Convolutional Neural Network (CNN) – a “Deep …

… a learning based manner, namely representation learning, which can be adapted to different
patient datasets at hand. In this paper, we introduce a deep learning … is adopted to learn the …