A Lightweight Cross-Gated Dual-Branch Attention Network for Colon and Lung Cancer Diagnosis from Histopathological Images
The end-to-end framework enables the reliable, interpretable, and computationally efficient classification of lung and colon histopathology and has potential applicability to computer-assisted diagnostic workflows.
Authors
- Raquel Ochoa-Ornelas (ORCID: https://orcid.org/0000-0003-1824-5789)
- Sonia Espinoza Morales (ORCID: https://orcid.org/0000-0002-1260-6670)
- Jesús Ezequiel Molinar-Solís (ORCID: https://orcid.org/0000-0002-4708-7102)
- Alberto Gudiño-Ochoa (ORCID: https://orcid.org/0000-0002-2366-7452)
- Sergio Octavio Rosales-Aguayo (ORCID: https://orcid.org/0000-0001-5492-299X)
- René Gudiño-Venegas
Institutions
- Universidad de Guadalajara (MX)
- Instituto Tecnológico de Tepic (MX)
- Instituto Tecnológico de Ciudad Juárez (MX)
Publication Details
- Journal
- Medical Sciences
- Published
- 2025-11-26
- DOI
- https://doi.org/10.3390/medsci13040286
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tecnológico Nacional de México