Evaluation of deep learning-based auto-segmentation algorithms for delineating clinical target volume and organs at risk involving data for 125 cervical cancer patients.

CONCLUSION: The auto-segmentation model was as accurate as the medical resident but with much better efficiency in this study. Furthermore, the auto-segmentation approach offers additional perceivable advantages of being consistent and ever improving when compared with manual approaches.
PMID: 33238060 [PubMed - as supplied by publisher]

Source: Journal of Applied Clinical Medical Physics - November 25, 2020 Category: Physics Authors: Wang Z, Chang Y, Peng Z, Lv Y, Shi W, Wang F, Pei X, Xu XG Tags: J Appl Clin Med Phys Source Type: research