Attention-Enhanced Residual U-Net with Histogram Equalization for Automated Classification of Gastrointestinal Bleeding Disorders
Attention-Enhanced Residual U-Net with Histogram Equalization for Automated Classification of Gastrointestinal Bleeding Disorders Sundaravadivazhagan Balasubaramanian1, M. Shyamala Devi2, K. Kavitha3, Balasubramaniam S4 1 College of Computing and Information sciences, University of Technology and Applied Sciences-Al Mussanah, Oman, [email protected] 2Department of Computer Science and Engineering, Panimalar Engineering College Chennai-600123, Tamil Nadu, India, [email protected], [email protected] 3Department of Computer Science, Mother Teresa Women’s University, Kodaikanal- 624 101, Tamilnadu, [email protected] 4School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology, Digital University Kerala, Thiruvananthapuram, Kerala, India, [email protected]
Institutions
- Digital Science (United States) (US)
- University of Technology and Applied Sciences - Al Mussanah (OM)
- Optimal Solutions (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-08
- DOI
- https://doi.org/10.5281/zenodo.15619213
- Primary Topic
- Gastrointestinal Bleeding Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00