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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. Handled an academic dataset of 11,148 labeled ECG images, performed image preprocessing, and managed 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 image upload and result download, ensuring organized and accurate data handling throughout the project.
Pendidikan
Bachelor's Degree in Biomedical Informatics
Bahasa
Arabic
native
English
intermediate
Kemas kini terakhir: 1 bulan yang lepas