Deep Learning-Augmented Head and Neck Organs at Risk Segmentation From CT Volumes

Purpose: A novel deep learning model, Siamese Ensemble Boundary Network (SEB-Net) was developed to improve the accuracy of automatic organs-at-risk (OARs) segmentation in CT images for head and neck (HaN) as well as small organs, which was verified for use in radiation oncology practice and is there...

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Autores principales: Wei Wang, Qingxin Wang, Mengyu Jia, Zhongqiu Wang, Chengwen Yang, Daguang Zhang, Shujing Wen, Delong Hou, Ningbo Liu, Ping Wang, Jun Wang
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/945aae3dad994147b8c34a2fa781bd23
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