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Kemahiran
Pengalaman
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 a dataset of 11,148 labeled ECG images, performed image preprocessing, model evaluation and structured documentation. Integrated a user interface for ECG uploads, prediction results with probability scores, and automated PDF report generation. Utilized Python, CSV datasets and technical documentation tools to ensure organized and accurate data handling.
Pendidikan
Bachelor's Degree in Biomedical Informatics
Bahasa
Arabic
native
English
intermediate
Kemas kini terakhir: 1 bulan yang lepas