Mehmet Zahid Genç

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

Abstract 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 addr...