Training and Validation of Deep Learning-Based Auto-Segmentation Models for Lung Stereotactic Ablative Radiotherapy Using Retrospective Radiotherapy Planning Contours

PURPOSE: Deep learning-based auto-segmented contour (DC) models require high quality data for their development, and previous studies have typically used prospectively produced contours, which can be resource intensive and time consuming to obtain. The aim of this study was to investigate the feasib...

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Detalles Bibliográficos
Autores principales: Wong, Jordan, Huang, Vicky, Giambattista, Joshua A., Teke, Tony, Kolbeck, Carter, Giambattista, Jonathan, Atrchian, Siavash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215371/
https://www.ncbi.nlm.nih.gov/pubmed/34164335
http://dx.doi.org/10.3389/fonc.2021.626499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215371/
https://www.ncbi.nlm.nih.gov/pubmed/34164335
http://dx.doi.org/10.3389/fonc.2021.626499

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