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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880380/
https://www.ncbi.nlm.nih.gov/pubmed/31775825
http://dx.doi.org/10.1186/s13014-019-1392-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880380/
https://www.ncbi.nlm.nih.gov/pubmed/31775825
http://dx.doi.org/10.1186/s13014-019-1392-z

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