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Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Although deep learning-based computer-aided diagnosis systems have recently achieved expert level performance, developing a robust model requires large, high-quality data with annotations. Here, the authors present a framework which can improve the performance of vision transformer simultaneously with self-supervision and self-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.86d41bcdae09459087ae844b19288b31
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-31514-x