Deep learning for medical imaging

Practical work assistant for the pring DLMI spring school. Classification and segmentation of medical images using common convolutional neurla networks (U-net, ResNet, VAE, etc.). Analysis and processing specific to medical imaging (spacing, modalities, contrast, etc.).

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