3 papers
cs.CV2026
Histo-MExNet: A Unified Framework for Real-World, Cross-Magnification, and Trustworthy Breast Cancer Histopathology
Enam Ahmed Taufika, Md Ahasanul Arafatha, Abhijit Kumar Ghoshb +2
Accurate and reliable histopathological image classification is essential for breast cancer diagnosis. However, many deep learning models remain sensitive to magnification variabil…
eess.SP2025
PaperNet: Efficient Temporal Convolutions and Channel Residual Attention for EEG Epilepsy Detection
Md Shahriar Sajid, Abhijit Kumar Ghosh, Fariha Nusrat
Electroencephalography (EEG) signals contain rich temporal-spectral structure but are difficult to model due to noise, subject variability, and multi-scale dynamics. Lightweight de…
stat.ML2025
Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning
Md Ahasanul Arafath, Abhijit Kumar Ghosh, Md Rony Ahmed +5
Colorectal cancer (CRC) grading is a critical prognostic factor but remains hampered by inter-observer variability and the privacy constraints of multi-institutional data sharing.…