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- Title
Deep Learning Assessment of Progression of Emphysema and Fibrotic Interstitial Lung Abnormality.
- Authors
Ash, Samuel Y.; Bina Choi; Oh, Andrea; Lynch, David A.; Humphries, Stephen M.
- Abstract
The article focuses on utilizing deep learning for assessing the progression of emphysema and fibrotic interstitial lung abnormalities. Topics include the imaging protocol used for data collection and the determination of the minimum clinically important difference (MCID) for fibrosis, incorporating both distribution-based and anchor-based methods for a more comprehensive MCID estimate.
- Subjects
DEEP learning; INTERSTITIAL lung diseases; LUNGS; CONVOLUTIONAL neural networks
- Publication
American Journal of Respiratory & Critical Care Medicine, 2023, Vol 208, Issue 6, pE1
- ISSN
1073-449X
- Publication type
Article
- DOI
10.1164/rccm.202211-2098oc