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Įgūdžiai
Patirtis
Automated Classification of ECG Images Using Deep Learning Techniques
Academic Project
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, performing data preprocessing, CSV label management and ensuring organized, accurate data handling. Contributed to model evaluation, technical documentation, and preparation of comprehensive project reports. Integrated a user interface for ECG uploads, prediction display with probability scores, and automated PDF report generation.
Išsilavinimas
Bachelor's Degree in Biomedical Informatics, New Mansoura University, Egypt (Graduated June 2026)
Kalbos
Arabic
native
English
intermediate
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