Author

Irfanud Din

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Open access Oct 2026

An Explainable Disease-Aware Intelligent Histopathological Representation Learning Framework for Generalizable Breast Cancer Classification

Background: Deep learning approaches, especially convolutional neural networks (CNNs) and Vision Transformers (ViTs), have made substantial progress in breast cancer classification from histopathological images. Yet, previous CNN–ViT-based architectures frequently demonstrate insufficient generalization when evaluated...

Faizan Ahmad, Irfanud Din, Khalil Khan · Diagnostics · 0 citations

Conference Jul 2026

Feature-Based Machine Learning Ensemble for the Classification of Harmful Brain Activities

The classification of harmful brain activities (HBA) is crucial in treating and curing many neurological illnesses. Electroencephalography (EEG) signals provide a non-invasive approach for capturing cerebral activity. Harvard Medical School supplied the biggest dataset to date for the HBAC using EEG signals, i.e., the...

D. Shahzad, Irfanud Din, Amina Umer et al. · 2026 6th International Confe... · 0 citations