GICAF-Net: A cross-attentional graph-image fusion network for hyperspectral pathological diagnosis of FNH and HCC.
- DOI
- 10.1016/j.cmpb.2025.109171
- Published
- 2026 Feb 1
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2025.109171,
title = {GICAF-Net: A cross-attentional graph-image fusion network for hyperspectral pathological diagnosis of FNH and HCC.},
author = {Li Y and Chen H and Gong B and Han J and Cheng J and Gao S and Li W},
year = {2026},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2025.109171},
url = {https://doi.org/10.1016/j.cmpb.2025.109171}
}RIS
TY - JOUR TI - GICAF-Net: A cross-attentional graph-image fusion network for hyperspectral pathological diagnosis of FNH and HCC. AU - Li Y AU - Chen H AU - Gong B AU - Han J AU - Cheng J AU - Gao S AU - Li W PY - 2026 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2025.109171 UR - https://doi.org/10.1016/j.cmpb.2025.109171 ER -
APA
Y, L., H, C., B, G., J, H., J, C., S, G., & W, L. (2026). GICAF-Net: A cross-attentional graph-image fusion network for hyperspectral pathological diagnosis of FNH and HCC.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2025.109171
Source records
- pubmed · retrieved 2026-09-26T16:21:10.347Z