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Įgūdžiai
Patirtis
Academic Project - Automated Classification of ECG Images
New Mansoura University
2025-01 - 2026-12
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 ECG images, performed image preprocessing, and managed CSV‑based labels ensuring organized and accurate data handling. Contributed to model evaluation, technical documentation, and generation of PDF reports with predicted classes and probability scores. Integrated a user interface for ECG uploads and result visualization, supporting structured documentation and project reporting.
Išsilavinimas
Bachelor's Degree in Biomedical Informatics
Kalbos
Arabic
native
English
intermediate
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