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Умения
Опит
Academic Project - Automated Classification of ECG Images Using Deep Learning Techniques
New Mansoura University
2025-01 - 2026-06
Collaborated in a four‑student team to develop a Python desktop prototype that classifies ECG images into four clinical categories. Managed an academic dataset of 11,148 labeled ECG images, performed image preprocessing, and handled CSV‑based labels. 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, ensuring organized and accurate data handling throughout the project.
Образование
Bachelor's Degree in Biomedical Informatics
Езици
Arabic
native
English
intermediate
Последна актуализация: преди 2 седмици