Evaluating Automatic Segmentation for Swallowing-Related Organs for Head
and Neck Cancer

Evaluating Automatic Segmentation for Swallowing-Related Organs for Head and Neck Cancer

Purpose: To evaluate the accuracy of deep-learning-based auto-segmentation of the superior constrictor, middle constrictor, inferior constrictor, and larynx in comparison with a traditional multi-atlas-based method. Methods and Materials: One hundred and five computed tomography image datasets from...

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Bibliographic Details
Main Authors:	Yimin Li MD, Shyam Rao MD, Wen Chen MD, Soheila F. Azghadi MD, Ky Nam Bao Nguyen MD, Angel Moran MD, Brittni M Usera MD, Brandon A Dyer MD, Lu Shang PhD, Quan Chen PhD, Yi Rong PhD
Format:	Article
Language:	English
Published:	SAGE Publishing 2022-07-01
Series:	Technology in Cancer Research & Treatment
Online Access:	https://doi.org/10.1177/15330338221105724

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