Author

Marek Penhaker

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Open access Oct 2026

MEE-Net: a lightweight CNN with interpretability assessment for cardiomegaly detection from chest X-rays on edge devices

Cardiomegaly is a clinically important indicator of cardiovascular risk, yet its detection from chest radiographs remains challenging due to inter-observer variability and the limited deployability of current deep learning models in resource-constrained settings. To address these limitations, we propose MEE-Net (Me...

Yaser Dalveren, Mehmet Zahid Genç, Ali Kara et al. · Scientific Reports · 0 citations

#artificial intelligence Preprint Sep 2026

GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

The results show strong performance on colonoscopy images and competitive performance on prostate MRI, supporting gaze-guided prototype refinement as a promising approach for segmentation-label-efficient, human-in-the-loop medical image segmentation.

M. Benyahia, Marouane Tliba, M. A. Kerkouri et al. · 0 citations