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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Detalhes bibliográficos
Publicado no:Front Oncol
Main Authors: Wong, Jordan, Huang, Vicky, Giambattista, Joshua A., Teke, Tony, Kolbeck, Carter, Giambattista, Jonathan, Atrchian, Siavash
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
Assuntos:
Oncology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8215371/
https://ncbi.nlm.nih.gov/pubmed/34164335
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2021.626499
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