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Evaluation of deep learning-based autosegmentation in breast cancer radiotherapy

PURPOSE: To study the performance of a proposed deep learning-based autocontouring system in delineating organs at risk (OARs) in breast radiotherapy with a group of experts. METHODS: Eleven experts from two institutions delineated nine OARs in 10 cases of adjuvant radiotherapy after breast-conservi...

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Detalles Bibliográficos
Autores principales:	Byun, Hwa Kyung, Chang, Jee Suk, Choi, Min Seo, Chun, Jaehee, Jung, Jinhong, Jeong, Chiyoung, Kim, Jin Sung, Chang, Yongjin, Chung, Seung Yeun, Lee, Seungryul, 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/PMC8518257/ https://www.ncbi.nlm.nih.gov/pubmed/34649569 http://dx.doi.org/10.1186/s13014-021-01923-1

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