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Automated Quality Assurance of OAR Contouring for Lung Cancer Based on Segmentation With Deep Active Learning

Purpose: Ensuring high-quality data for clinical trials in radiotherapy requires the generation of contours that comply with protocol definitions. The current workflow includes a manual review of the submitted contours, which is time-consuming and subjective. In this study, we developed an automated...

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Detalles Bibliográficos
Autores principales:	Men, Kuo, Geng, Huaizhi, Biswas, Tithi, Liao, Zhongxing, Xiao, Ying
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7350536/ https://www.ncbi.nlm.nih.gov/pubmed/32719742 http://dx.doi.org/10.3389/fonc.2020.00986

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