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...

Full description

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