About Me
I’m Mariam Ahmed Fathy, and I recently graduated with a degree in Biomedical Engineering from Cairo University. During my studies, I developed a strong interest in machine learning, particularly in how it can be applied to medical imaging and healthcare.
For my graduation project, my team and I developed a self configuring deep learning framework for neuroblastoma segmentation. This project focused on creating a model capable of segmenting neuroblastoma, as well as other abdominal organs and liver lesions, using tools like PyTorch, Monai, and Optuna. It was a challenging yet rewarding experience, where I had to work with complex medical imaging data, experiment with different architectures and hyperparameter, and optimize the framework to generalize across different tasks. This project allowed me to develop key skills in deep learning model development, hyperparameter tuning, and medical image analysis.
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