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Умения
Опит
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. Managed a dataset of 11,148 labeled ECG images and CSV labels, ensuring organized and accurate data handling. Implemented image preprocessing, model evaluation, and generated structured technical documentation and PDF reports. Integrated a user interface for ECG uploads, prediction display with probability scores, and downloadable reports. The project demonstrated proficiency in Python, data processing, and documentation within a biomedical informatics context.
Образование
Bachelor's Degree in Biomedical Informatics
Езици
Arabic
native
English
intermediate
Последна актуализация: преди 3 седмици