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Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model

Authors :
Doyun Kim
Joowon Chung
Jongmun Choi
Marc D. Succi
John Conklin
Maria Gabriela Figueiro Longo
Jeanne B. Ackman
Brent P. Little
Milena Petranovic
Mannudeep K. Kalra
Michael H. Lev
Synho Do
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

Subjects :
Science

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