Author

M. Ahad

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#artificial intelligence Preprint Sep 2026

LukeNet: A lightweight CNN integrated with an XAI model for Smart acute lymphoblastic leukemia detection and management

Acute Lymphoblastic Leukemia (ALL) patients require early, accurate detection to enable timely treatment and effective patient management. A Convolutional Neural Network (CNN) is well-suited for creating an end-to-end enabling environment for ALL detection and classification. However, most CNN-based ALL detection syste...

M. Ahad · 0 citations

Conference Jul 2026

Deep Learning Approaches for Lung Cancer Classification: Assessing CNN Performance using Saliency Maps and Grad CAM on CT Imaging

Lung cancer remains among the leading causes of mortality in the world and CT imaging is one of the crucial instruments of early diagnosis. These scans however are time consuming and prone to error in case they are manually interpreted. We use a dataset of 364 lung CT images in this study, as they have been obtained in...

Md Sujon Ali, M. Ahad, Fabiha Faiz Mahi et al. · 2026 International Conferenc... · 0 citations