Deep Learning Improved Clinical Target Volume Contouring Quality and Efficiency for Postoperative Radiation Therapy in Non-small Cell Lung Cancer

Purpose: To investigate whether a deep learning-assisted contour (DLAC) could provide greater accuracy, inter-observer consistency, and efficiency compared with a manual contour (MC) of the clinical target volume (CTV) for non-small cell lung cancer (NSCLC) receiving postoperative radiotherapy (PORT...

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Detalles Bibliográficos
Autores principales: Bi, Nan, Wang, Jingbo, Zhang, Tao, Chen, Xinyuan, Xia, Wenlong, Miao, Junjie, Xu, Kunpeng, Wu, Linfang, Fan, Quanrong, Wang, Luhua, Li, Yexiong, Zhou, Zongmei, Dai, Jianrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6863957/
https://www.ncbi.nlm.nih.gov/pubmed/31799181
http://dx.doi.org/10.3389/fonc.2019.01192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6863957/
https://www.ncbi.nlm.nih.gov/pubmed/31799181
http://dx.doi.org/10.3389/fonc.2019.01192

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