Complete Abdomen and Pelvis Segmentation using U-Net Variant Architecture.

CONCLUSIONS: The CNN approaches the accuracy of human tracers and on certain complex organs displays more consistent prediction than human tracers. Fully automated deep-learning based segmentation of CT abdomen has the potential to improve both the speed and accuracy of radiotherapy dose prediction for organs-at-risk.
PMID: 32740931 [PubMed - as supplied by publisher]

Source: Health Physics - August 1, 2020 Category: Physics Authors: Weston AD, Korfiatis P, Philbrick KA, Conte GM, Kostandy P, Sakinis T, Zeinoddini A, Boonrod A, Moynagh M, Takahashi N, Erickson BJ Tags: Med Phys Source Type: research