Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer

BACKGROUND: Accurate and standardized descriptions of organs at risk (OARs) are essential in radiation therapy for treatment planning and evaluation. Traditionally, physicians have contoured patient images manually, which, is time-consuming and subject to inter-observer variability. This study aims...

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Detalhes bibliográficos
Publicado no:Radiat Oncol
Main Authors: Ahn, Sang Hee, Yeo, Adam Unjin, Kim, Kwang Hyeon, Kim, Chankyu, Goh, Youngmoon, Cho, Shinhaeng, Lee, Se Byeong, Lim, Young Kyung, Kim, Haksoo, Shin, Dongho, Kim, Taeyoon, Kim, Tae Hyun, Youn, Sang Hee, Oh, Eun Sang, Jeong, Jong Hwi
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6880380/
https://ncbi.nlm.nih.gov/pubmed/31775825
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13014-019-1392-z
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