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Author

Nadeem Iqbal Kajla

2 papers indexed here

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Open access Oct 2026

EffAtt-LungNet: An attention-guided EfficientNet framework for three-class lung histopathology classification

This study presents EffAtt-LungNet, an attention-guided deep learning framework for three-class lung histopathology classification. The model combines an EfficientNetB3 backbone with the Convolutional Block Attention Module (CBAM) to refine features and improve discrimination among benign lung tissue, lung adenocarcino...

Muhammad Ahsan Jamil, Malik Daler Ali Awan, Fatima Bukhari et al. · 0 citations
#machine learning Preprint Sep 2026

Fragment-Aware Vision Transformers for Fresco-Fragment Style Classification

A distribution-level contrastive objective that consistently sharpens single-branch recognition, and an interpretability analysis that verifies the models exploit genuine painted evidence, while quantifying that the inpainting-based branch draws part of its attribution from the synthesised surround.

Sara Miketek, Biagio Barchielli, Nadeem Iqbal Kajla et al. · 0 citations

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