Segmentation of the prostate and organs at risk in male pelvic CT images using deep learning

• Published in: Biomedical physics & engineering express Vol. 4; no. 5; pp. 55003 - 55011
• Main Authors: Kazemifar, Samaneh, Balagopal, Anjali, Nguyen, Dan, McGuire, Sarah, Hannan, Raquibul, Jiang, Steve, Owrangi, Amir
• Format: Journal Article
• Language: English
• Published: IOP Publishing 23.07.2018
• Subjects: artificial intelligence; deep machine learning; male pelvic region; neural network; organ contouring; prostate; segmentation

Inter-and intra-observer variation in delineating regions of interest (ROIs) occurs because of differences in expertise level and preferences of the radiation oncologists. We evaluated the accuracy of a segmentation model using the U-Net structure to delineate the prostate, bladder, and rectum in ma...