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

Internet

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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