Comprehensive clinical evaluation of deep learning-based auto-segmentation for radiotherapy in patients with cervical cancer

BACKGROUND AND PURPOSE: Deep learning-based models have been actively investigated for various aspects of radiotherapy. However, for cervical cancer, only a few studies dealing with the auto-segmentation of organs-at-risk (OARs) and clinical target volumes (CTVs) exist. This study aimed to train a d...

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Detalles Bibliográficos
Autores principales: Chung, Seung Yeun, Chang, Jee Suk, Kim, Yong Bae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175826/
https://www.ncbi.nlm.nih.gov/pubmed/37188180
http://dx.doi.org/10.3389/fonc.2023.1119008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175826/
https://www.ncbi.nlm.nih.gov/pubmed/37188180
http://dx.doi.org/10.3389/fonc.2023.1119008

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