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Full-Text Articles in Medicine and Health Sciences
Deep Learning Vs. Atlas-Based Models For Fast Auto-Segmentation Of The Masticatory Muscles On Head And Neck Ct Images, Wen Chen, Yimin Li, Brandon A. Dyer, Xue Feng, Shyam Rao, Stanley H. Benedict, Quan Chen, Yi Rong
Deep Learning Vs. Atlas-Based Models For Fast Auto-Segmentation Of The Masticatory Muscles On Head And Neck Ct Images, Wen Chen, Yimin Li, Brandon A. Dyer, Xue Feng, Shyam Rao, Stanley H. Benedict, Quan Chen, Yi Rong
Markey Cancer Center Faculty Publications
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 commercial atlas-based model for fast auto-segmentation of the masticatory muscles on head and neck computed tomography (CT) images.
MATERIAL AND METHODS: Paired masseter (M), temporalis (T), medial and lateral pterygoid (MP, LP) muscles were manually segmented on 56 CT images. CT images were randomly divided into training (n = 27) and validation (n = 29) cohorts. Two …