Showing eess.IVShow all
2 papers · 1 filter
eess.IV2025
MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
Ovi Sarkar, Md Shafiuzzaman, Md. Faysal Ahamed +2
Colorectal cancer (CRC) is a leading worldwide cause of cancer-related mortality, and the role of prompt precise detection is of paramount interest in improving patient outcomes. C…
eess.IV2025
GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization
Sumaiya Tabassum, Md. Faysal Ahamed, Hafsa Binte Kibria +4
The gastrointestinal (GI) tract of humans can have a wide variety of aberrant mucosal abnormality findings, ranging from mild irritations to extremely fatal illnesses. Prompt ident…