Sharmin Sultana

ConvNeXt–KAN: a Kolmogorov–Arnold Network head for robust multi-class staging of Alzheimer's disease from brain MRI

Introduction Alzheimer's disease (AD) is a progressive neurodegenerative disorder for which accurate, stage-wise classification from structural magnetic resonance imaging (MRI) can support earlier intervention. Convolutional neural networks (CNNs) dominate this task, but their classifier heads rely on fixed activation...

Ensemble of Hybrid CNN–RNN Architectures for Robust ECG Abnormality Classification

Deep Learning-Based Lung Cancer Diagnosis and Classification Using CT Images

One of the main causes of cancer-related fatalities globally is lung cancer, and increasing patient survival requires early diagnosis. Lung cancer screening frequently uses computed tomography (CT) imaging, although manual interpretation can be laborious and reliant on radiologist skill. A deep learning-based framework...