2024
DOI: 10.1038/s41598-023-50382-z
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Edge roughness quantifies impact of physician variation on training and performance of deep learning auto-segmentation models for the esophagus

Yujie Yan,
Christopher Kehayias,
John He
et al.

Abstract: Manual segmentation of tumors and organs-at-risk (OAR) in 3D imaging for radiation-therapy planning is time-consuming and subject to variation between different observers. Artificial intelligence (AI) can assist with segmentation, but challenges exist in ensuring high-quality segmentation, especially for small, variable structures, such as the esophagus. We investigated the effect of variation in segmentation quality and style of physicians for training deep-learning models for esophagus segmentation and propo… Show more

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