A radiology-aware fuzzy deep learning framework with entropy-guided feature selection for robust multi-disease chest X-ray classification across multiple magnifications.
- DOI
- 10.1007/s12194-026-01110-5
- Published
- 2026 Sep
- Container
- Radiological physics and technology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s12194-026-01110-5,
title = {A radiology-aware fuzzy deep learning framework with entropy-guided feature selection for robust multi-disease chest X-ray classification across multiple magnifications.},
author = {Ershadi MM and Rahimi Rise Z and Niaki STA},
year = {2026},
journal = {Radiological physics and technology},
doi = {10.1007/s12194-026-01110-5},
url = {https://doi.org/10.1007/s12194-026-01110-5}
}RIS
TY - JOUR TI - A radiology-aware fuzzy deep learning framework with entropy-guided feature selection for robust multi-disease chest X-ray classification across multiple magnifications. AU - Ershadi MM AU - Rahimi Rise Z AU - Niaki STA PY - 2026 JO - Radiological physics and technology DO - 10.1007/s12194-026-01110-5 UR - https://doi.org/10.1007/s12194-026-01110-5 ER -
APA
MM, E., Z, R. R., & STA, N. (2026). A radiology-aware fuzzy deep learning framework with entropy-guided feature selection for robust multi-disease chest X-ray classification across multiple magnifications.. Radiological physics and technology. https://doi.org/10.1007/s12194-026-01110-5
Source records
- pubmed · retrieved 2026-09-25T14:14:56.372Z