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Kemahiran
Pengalaman
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, and managed CSV‑based labels with a strong focus on organized and accurate data handling. Contributed to model evaluation, technical documentation, and the generation of PDF reports with predicted classes and probability scores. Integrated a user interface for ECG uploads and result visualization, demonstrating proficiency in Python, data processing, and documentation.
Pendidikan
Bachelor's Degree in Biomedical Informatics, New Mansoura University, Egypt
Bahasa
Arabic
native
English
intermediate
Kemas kini terakhir: 4 minggu yang lepas