Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues

Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues

Background and purpose: Objective assessment of delivered radiotherapy (RT) to thoracic organs requires fast and accurate deformable dose mapping. The aim of this study was to implement and evaluate an artificial intelligence (AI) deformable image registration (DIR) and organ segmentation-based AI d...

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Bibliographic Details
Main Authors:	Jue Jiang, Chloe Min Seo Choi, Joseph O. Deasy, Andreas Rimner, Maria Thor, Harini Veeraraghavan
Format:	Article
Language:	English
Published:	Elsevier 2024-01-01
Series:	Physics and Imaging in Radiation Oncology
Subjects:	Artificial intelligence Registration-segmentation Automated dose mapping Lung cancer CBCT
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405631624000125

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