3 papers
cs.CV2026
Few-Shot Cross-Dataset Adaptation for Tuberculosis Detection Using DenseNet
Bidhan Biswas, Shahadat Hossain Sohag, Nabil Ashab +2
Tuberculosis (TB) is one of the most common and dangerous bacterial ailments. Every year, it causes a large number of deaths worldwide. Although many deep learning models can detec…
eess.IV2026
MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology
Nabil Ashab, Soumit Kumar Kundu, Saif Mahmud Parvez +3
Breast cancer is one of the most common types of cancer among women around the world. Rapid detection and early treatment can hinder its progress to more complex stages and can imp…
eess.IV2026
ORViT-DR: Ordinally-Robust Hybrid ViT for Low-Resolution Diabetic Retinopathy Grading
Soumit Kumar Kundu, Nabil Ashab, Bidhan Biswas +4
Diabetic retinopathy (DR) is one of the main causes of impaired vision. A good and reliable automated grading system can make the screening process safer and more accurate. Because…