Evaluation of generalization ability for deep learning‐based auto‐segmentation accuracy in limited field of view CBCT of male pelvic region

PURPOSE: The aim of this study was to evaluate generalization ability of segmentation accuracy for limited FOV CBCT in the male pelvic region using a full‐image CNN. Auto‐segmentation accuracy was evaluated using various datasets with different intensity distributions and FOV sizes. METHODS: A total...

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Detalles Bibliográficos
Autores principales: Hirashima, Hideaki, Nakamura, Mitsuhiro, Imanishi, Keiho, Nakao, Megumi, Mizowaki, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161011/
https://www.ncbi.nlm.nih.gov/pubmed/36659871
http://dx.doi.org/10.1002/acm2.13912

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161011/
https://www.ncbi.nlm.nih.gov/pubmed/36659871
http://dx.doi.org/10.1002/acm2.13912

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