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Įgūdžiai
Patirtis
Academic Project - Automated Classification of ECG Images
New Mansoura University
2025-01 - 2026-06
Collaborated in a four‑student team to develop a Python desktop prototype that classifies ECG images into four clinical categories. Handled an academic dataset of 11,148 labeled images, performed image preprocessing, and managed CSV‑based labels with a focus on organized and accurate data handling. Contributed to model evaluation, technical documentation, and the generation of PDF reports with predicted classes and probability scores. Integrated a user interface for ECG uploads and result visualization, ensuring reproducible and well‑documented project outcomes.
Išsilavinimas
Bachelor's Degree in Biomedical Informatics
Kalbos
Arabic
native
English
intermediate
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