HDFF-Net: A Hybrid Dual-Feature Fusion Network with Bidirectional Gated Fusion for Colposcopic Transformation Zone Classification, Evaluated under a Leakage-Audited Cluster-Level Protocol.
- DOI
- 10.1007/s10278-026-02497-8
- Published
- 2026 Nov 9
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-02497-8,
title = {HDFF-Net: A Hybrid Dual-Feature Fusion Network with Bidirectional Gated Fusion for Colposcopic Transformation Zone Classification, Evaluated under a Leakage-Audited Cluster-Level Protocol.},
author = {Shubhaker B and Raghavendra BS},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-02497-8},
url = {https://doi.org/10.1007/s10278-026-02497-8}
}RIS
TY - JOUR TI - HDFF-Net: A Hybrid Dual-Feature Fusion Network with Bidirectional Gated Fusion for Colposcopic Transformation Zone Classification, Evaluated under a Leakage-Audited Cluster-Level Protocol. AU - Shubhaker B AU - Raghavendra BS PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-02497-8 UR - https://doi.org/10.1007/s10278-026-02497-8 ER -
APA
B, S., & BS, R. (2026). HDFF-Net: A Hybrid Dual-Feature Fusion Network with Bidirectional Gated Fusion for Colposcopic Transformation Zone Classification, Evaluated under a Leakage-Audited Cluster-Level Protocol.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02497-8
Source records
- pubmed · retrieved 2026-11-11T01:45:25.572Z