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Įgūdžiai
Patirtis
Academic Project – Automated Classification of ECG Images Using Deep Learning Techniques
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 a dataset of 11,148 labeled ECG images, performed image preprocessing, model evaluation and structured documentation. Integrated a user interface for ECG uploads, prediction of classes with probability scores, and automated PDF report generation. Utilized Python, CSV datasets and basic data visualization, delivering a functional prototype for academic evaluation.
Išsilavinimas
Bachelor's Degree in Biomedical Informatics
Kalbos
Arabic
native
English
intermediate
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