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Shabir Hussain

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Open access Sep 2026

Attn-NucleiSeg: Cross-Attention Fusion with Adaptive Scale Selection for Nuclei Segmentation in HE Images

Nuclei instance segmentation in histopathology images is an important yet challenging task for cancer diagnosis and treatment planning. Existing methods often rely on single-encoder architectures that may have difficulty capturing both local morphological details and global contextual information, while fixed receptive...

R. Javed, Nimra Bukhari, Shabir Hussain · 0 citations
Review Open access Sep 2026

Advanced Deep Learning and Hybrid Architectures in Biomedical Data Analysis for Advances in Medicine

This review synthesizes the current progress in applying deep learning to neuroimaging, cardiovascular disease diagnosis, functional connectivity analysis, and biomedical text mining, focusing on hybrid and ensemble strategies that combine complementary modeling strengths.

Li-Feng Li, Ashfaque Khowaja, Yu-Cheng Song et al. · 0 citations

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