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Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Here the authors develop a method for accurate auto-labelling of CXR images from large public datasets based on quantitative probability-of similarity to an explainable AI model. The labels can be used to fine-tune the original model through iterative re-training.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.4f92b2c2fd0d458a94fb259f68af26fb
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-29437-8