Hybrid CNN–transformer model with gated feature fusion and GAN-based augmentation for MRI image classification
- DOI
- 10.1007/s00117-026-01681-9
- Published
- 2026-11-02
- Container
- Die Radiologie
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00117-026-01681-9,
title = {Hybrid CNN–transformer model with gated feature fusion and GAN-based augmentation for MRI image classification},
author = {Sedat Orenc and Cebrail Turkeri and Yusuf Alaca},
year = {2026},
journal = {Die Radiologie},
doi = {10.1007/s00117-026-01681-9},
url = {https://doi.org/10.1007/s00117-026-01681-9}
}RIS
TY - JOUR TI - Hybrid CNN–transformer model with gated feature fusion and GAN-based augmentation for MRI image classification AU - Sedat Orenc AU - Cebrail Turkeri AU - Yusuf Alaca PY - 2026 JO - Die Radiologie DO - 10.1007/s00117-026-01681-9 UR - https://doi.org/10.1007/s00117-026-01681-9 ER -
APA
Orenc, S., Turkeri, C., & Alaca, Y. (2026). Hybrid CNN–transformer model with gated feature fusion and GAN-based augmentation for MRI image classification. Die Radiologie. https://doi.org/10.1007/s00117-026-01681-9
Source records
- crossref · retrieved 2026-11-03T17:43:41.605Z