Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scans

Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scans

Background: Emerging data suggest that dose-sparing several key cardiac regions is prognostically beneficial in lung cancer radiotherapy. The cardiac substructures are challenging to contour due to their complex geometry, poor soft tissue definition on computed tomography (CT) and cardiorespiratory...

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Bibliographic Details
Main Authors: Gerard M. Walls, Valentina Giacometti, Aditya Apte, Maria Thor, Conor McCann, Gerard G. Hanna, John O'Connor, Joseph O. Deasy, Alan R. Hounsell, Karl T. Butterworth, Aidan J. Cole, Suneil Jain, Conor K. McGarry
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Auto-segmentation
Deep learning
Cardiac substructures
Radiotherapy
Cardiotoxicity
Lung cancer
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631622000665

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http://www.sciencedirect.com/science/article/pii/S2405631622000665

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