Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images
Medical Image Anal., pp. 186-196, 2019.
ClusteringDeep learningImage segmentationModel uncertaintyShape models
The goal of this work was to develop a method for accurate and robust automatic segmentation of the prostate clinical target volume in transrectal ultrasound (TRUS) images for brachytherapy. These images can be difficult to segment because of weak or insufficient landmarks or strong artifacts. We devise a method, based on convolutional ne...More
Full Text (Upload PDF)
PPT (Upload PPT)
Best Paper of , 2019