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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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Detalles Bibliográficos
Autores principales:	Li, Yimin, Rao, Shyam, Chen, Wen, Azghadi, Soheila F., Nguyen, Ky Nam Bao, Moran, Angel, Usera, Brittni M, Dyer, Brandon A, Shang, Lu, Chen, Quan, Rong, Yi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340321/ https://www.ncbi.nlm.nih.gov/pubmed/35790457 http://dx.doi.org/10.1177/15330338221105724

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