Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images

Davood Karimi
Davood Karimi
Prateek Mathur
Prateek Mathur
Apeksha Avinash
Apeksha Avinash

Medical Image Anal., pp. 186-196, 2019.

Cited by: 8|Bibtex|Views201|Links
WOS EI
Keywords:
ClusteringDeep learningImage segmentationModel uncertaintyShape models

Abstract:

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

Code:

Data:

Your rating :
0

 

Best Paper
Best Paper of , 2019
Tags
Comments