Author

M. Ahad

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#artificial intelligence Preprint Sep 2026

A Lightweight CNN Integrated Compact Convolutional Transformer for Multi-Scale Feature Learning and reducing computational complexity for breast cancer mammography image detection and classification

Lighter than ViT, which is effective in capturing long-range dependencies, the proposed CNN-integrated CCT has also proven efficient in breast cancer classification by capturing long-range dependencies among breast tissue regions.

M. Ahad, Ainuddin Ahmed · 0 citations

Open access Aug 2026

oCCT: An optimized lightweight CCT for lung and colon cancer histopathological image classification with XAI-based interpretability

An optimized CCT (oCCT) is developed that addresses Computational and Architectural Complexity, as well as Local and Global Feature Learning and integrated explainable artificial intelligence to make oCCT easier for clinicians to trust and deploy, with clear explanations of its predictions.

M. Ahad, Israt Jahan Payel · Neural computing & applicati... · 0 citations