Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images

Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images

Abstract Background Impaired function of masticatory muscles will lead to trismus. Routine delineation of these muscles during planning may improve dose tracking and facilitate dose reduction resulting in decreased radiation-related trismus. This study aimed to compare a deep learning model with a c...

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Bibliographic Details
Main Authors: Wen Chen, Yimin Li, Brandon A. Dyer, Xue Feng, Shyam Rao, Stanley H. Benedict, Quan Chen, Yi Rong
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Radiation Oncology
Subjects:
Deep learning model
Masticatory muscles
Auto-segmentation
Online Access:http://link.springer.com/article/10.1186/s13014-020-01617-0

Internet

http://link.springer.com/article/10.1186/s13014-020-01617-0

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