A Novel and Automated Approach to Classify Radiation Induced Lung Tissue Damage on CT Scans

A Novel and Automated Approach to Classify Radiation Induced Lung Tissue Damage on CT Scans

Radiation-induced lung damage (RILD) is a common side effect of radiotherapy (RT). The ability to automatically segment, classify, and quantify different types of lung parenchymal change is essential to uncover underlying patterns of RILD and their evolution over time. A RILD dedicated tissue classi...

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Bibliographic Details
Main Authors: Adam Szmul, Edward Chandy, Catarina Veiga, Joseph Jacob, Alkisti Stavropoulou, David Landau, Crispin T. Hiley, Jamie R. McClelland
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Cancers
Subjects:
radiation induced lung damage
lung segmentation
lung tissue classification
deep learning
Online Access:https://www.mdpi.com/2072-6694/14/5/1341

Internet

https://www.mdpi.com/2072-6694/14/5/1341

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