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Lab for Artificial Intelligence in Medical Imaging


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  1. Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

    Jupyter Notebook 35 15

  2. PyTorch Implementation of 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

    Python 35 8

  3. Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)

    MATLAB 26 9

  4. PyTorch Implementation of QuickNAT, a fast brain MRI segmentation framework

    Python 19 4

  5. Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)

    MATLAB 15 7

  6. Caffe implementation of DeepNAT for brain segmentation


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