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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340321/
https://www.ncbi.nlm.nih.gov/pubmed/35790457
http://dx.doi.org/10.1177/15330338221105724

Ejemplares similares