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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 an academic dataset of 11,148 labeled ECG images, performed image preprocessing, organized CSV label files and ensured accurate data handling. Contributed to model evaluation, technical documentation, and generated 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, New Mansoura University, Egypt
Kalbos
Arabic
native
English
intermediate
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