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A python code for multi-class semantic segmentation for 3D reconstruction of 2D DSA images using CNN

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DepthDSA

Python code to recover depth from projected synthetic 2D Digital Subtraction Angiography (DSA).

This plugin build a depth map from a single DSA image using semantic segmentation. Synthetic data are generated using gvirtualxray

This code uses Keras on Tensorflow and follows a simple UNet architecture.

Learning Depth from a Single 2D Digital Subtraction Angiography

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A python code for multi-class semantic segmentation for 3D reconstruction of 2D DSA images using CNN

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