A Hybrid Lightweight Deep Learning Framework for Colorectal Cancer Detection Using an Adaptive Gated Feature Fusion and Grid Search-Based Hyperparameter Optimization.
- DOI
- 10.1007/s10278-026-02273-8
- Published
- 2026 Sep 22
- 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/s10278-026-02273-8,
title = {A Hybrid Lightweight Deep Learning Framework for Colorectal Cancer Detection Using an Adaptive Gated Feature Fusion and Grid Search-Based Hyperparameter Optimization.},
author = {Aderemi ET and Fagbola TM and Abayomi FO and Ogundokun RO and Owolawi PA},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-02273-8},
url = {https://doi.org/10.1007/s10278-026-02273-8}
}RIS
TY - JOUR TI - A Hybrid Lightweight Deep Learning Framework for Colorectal Cancer Detection Using an Adaptive Gated Feature Fusion and Grid Search-Based Hyperparameter Optimization. AU - Aderemi ET AU - Fagbola TM AU - Abayomi FO AU - Ogundokun RO AU - Owolawi PA PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-02273-8 UR - https://doi.org/10.1007/s10278-026-02273-8 ER -
APA
ET, A., TM, F., FO, A., RO, O., & PA, O. (2026). A Hybrid Lightweight Deep Learning Framework for Colorectal Cancer Detection Using an Adaptive Gated Feature Fusion and Grid Search-Based Hyperparameter Optimization.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02273-8
Source records
- pubmed · retrieved 2026-09-25T23:59:20.533Z