StrokeCT-2C5K: A Two-Center Cranial CT Dataset for Four-Class Stroke Classification Using SE-Attention-Enhanced Deep Learning Models.
- DOI
- 10.3390/biomimetics11090638
- Published
- 2026 Sep 6
- Container
- Biomimetics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/biomimetics11090638,
title = {StrokeCT-2C5K: A Two-Center Cranial CT Dataset for Four-Class Stroke Classification Using SE-Attention-Enhanced Deep Learning Models.},
author = {Karlı AB and Ucan M and Kaya B},
year = {2026},
journal = {Biomimetics (Basel, Switzerland)},
doi = {10.3390/biomimetics11090638},
url = {https://doi.org/10.3390/biomimetics11090638}
}RIS
TY - JOUR TI - StrokeCT-2C5K: A Two-Center Cranial CT Dataset for Four-Class Stroke Classification Using SE-Attention-Enhanced Deep Learning Models. AU - Karlı AB AU - Ucan M AU - Kaya B PY - 2026 JO - Biomimetics (Basel, Switzerland) DO - 10.3390/biomimetics11090638 UR - https://doi.org/10.3390/biomimetics11090638 ER -
APA
AB, K., M, U., & B, K. (2026). StrokeCT-2C5K: A Two-Center Cranial CT Dataset for Four-Class Stroke Classification Using SE-Attention-Enhanced Deep Learning Models.. Biomimetics (Basel, Switzerland). https://doi.org/10.3390/biomimetics11090638
Source records
- pubmed · retrieved 2026-09-25T11:25:30.359Z