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Author

Abolfazl Mehbodniya

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#artificial intelligence Open access Sep 2026

Mamba-based state-space modeling with window attention for explainable multi-class gastrointestinal disease diagnosis in endoscopic images

Introduction This paper introduces a new hybrid deep learning architecture, which is named GINet, to accurately and efficiently classify gastrointestinal (GI) diseases using endoscopic images. Automated diagnosis is not an easy task due to the visual similarity among GI conditions and the class imbalance. Method To ove...

V. Tanwar, Bhisham Sharma, Julian L. Webber et al. · 0 citations
Open access Sep 2026

Colorectal Lesion diagnosis using transformer and deep learning with multiscale feature interface

Colorectal cancer is the third most common malignancy worldwide. Manual screening requires expertise and resources. However, advancements in AI (artificial intelligence) have reduced the computation burden and time. Machine and deep learning have recently been used to diagnose colorectal lesions. The requirement of han...

D. P. Yadav, Bhisham Sharma, Julian L. Webber et al. · 0 citations

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