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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Veröffentlicht in:Front Oncol
Hauptverfasser: Wong, Jordan, Huang, Vicky, Giambattista, Joshua A., Teke, Tony, Kolbeck, Carter, Giambattista, Jonathan, Atrchian, Siavash
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2021
Schlagworte:
Oncology
Online Zugang: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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