Author

S. M. Hasan Mahmud

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Open access Sep 2026

Ovarian cancer detection and classification using attention-based CNN and deep feature extraction techniques

An attention-based CNN model for classifying ovarian cancer that outperforms existing methods based on quantitative evaluation is proposed and incorporated into a web application utilizing the FastAPI framework to facilitate real-time predictions.

Md. Faruk Hosen, S. M. Hasan Mahmud, Francis Rudra D. Cruze et al. · Scientific Reports · 0 citations

Jul 2026

BiLoG-Net: A Bi-Context Location-Guided Network for Breast Mass Segmentation and Malignancy Classification in Mammography

BiLoG-Net is proposed, a deep learning framework that jointly performs breast mass segmentation and malignancy classification through bi-context location-aware feature modeling and segmentation-guided attention mechanisms, and holds strong potential for clinical computer-aided detection systems, helping radiologists pr...

Abu Fatema Mohammad Abdun Noor, Md Imam Ahasan, M. S. Ahasan et al. · arXiv.org · 0 citations

Jul 2026

GenDiff: A Dose and Anatomy Aware Diffusion Model with Structural Prior Refinement for Low-Dose CT Reconstruction and Generalization

GenDiff is proposed, a generalizable diffusion-based framework for LDCT reconstruction that jointly models continuous radiation dose and anatomical information within a unified reconstruction network and achieves superior reconstruction quality while maintaining strong robustness across different dose levels, anatomica...

Md Imam Ahasan, Guang-Chao Yang, A. F. M. Abdun Noor et al. · arXiv.org · 0 citations