Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery

BACKGROUND: In breast cancer patients receiving radiotherapy (RT), accurate target delineation and reduction of radiation doses to the nearby normal organs is important. However, manual clinical target volume (CTV) and organs-at-risk (OARs) segmentation for treatment planning increases physicians’ w...

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Detalles Bibliográficos
Autores principales: Chung, Seung Yeun, Chang, Jee Suk, Choi, Min Seo, Chang, Yongjin, Choi, Byong Su, Chun, Jaehee, Keum, Ki Chang, Kim, Jin Sung, Kim, Yong Bae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905884/
https://www.ncbi.nlm.nih.gov/pubmed/33632248
http://dx.doi.org/10.1186/s13014-021-01771-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905884/
https://www.ncbi.nlm.nih.gov/pubmed/33632248
http://dx.doi.org/10.1186/s13014-021-01771-z

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