CNN-Based AVM Detection

A deep learning pipeline designed to detect arteriovenous malformations (AVMs) in brain MRI scans. The approach combines CNN feature extraction with advanced representations to improve detection performance.

Key Features

• CNN-based classification for AVM detection.
• Integration of grayscale density features.
• Latent representations via autoencoders and metric learning.

Technologies Used

• PyTorch, Torchvision, NumPy, Matplotlib, scikit-learn