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

Ovarian cancer (OC) remains a significant global health concern, marked by high mortality rates and a lack of reliable diagnostic tools. Early detection of this disorder is crucial for improving survival rates and optimizing the healthcare system. However, it is necessary to establish an automated system that is mo...

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