Evaluation of Automatic Segmentation Model With Dosimetric Metrics for Radiotherapy of Esophageal Cancer

Background and Purpose: Automatic segmentation model is proven to be efficient in delineation of organs at risk (OARs) in radiotherapy; its performance is usually evaluated with geometric differences between automatic and manual delineations. However, dosimetric differences attract more interests th...

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Detalles Bibliográficos
Autores principales: Zhu, Ji, Chen, Xinyuan, Yang, Bining, Bi, Nan, Zhang, Tao, Men, Kuo, Dai, Jianrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550908/
https://www.ncbi.nlm.nih.gov/pubmed/33117694
http://dx.doi.org/10.3389/fonc.2020.564737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550908/
https://www.ncbi.nlm.nih.gov/pubmed/33117694
http://dx.doi.org/10.3389/fonc.2020.564737

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