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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| 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 |