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@DIAGNijmegen

Diagnostic Image Analysis Group

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  1. neural-odes-segmentation neural-odes-segmentation Public

    Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands

    Python 112 28

  2. pathology-whole-slide-data pathology-whole-slide-data Public

    A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

    Python 107 30

  3. StreamingCNN StreamingCNN Public

    To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of …

    Jupyter Notebook 101 26

  4. pathology-streaming-pipeline pathology-streaming-pipeline Public

    Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.

    Python 79 12

  5. pathology-hooknet pathology-hooknet Public

    Jupyter Notebook 65 10

  6. picai_labels picai_labels Public

    Annotations for the PI-CAI Challenge: Public Training and Development Dataset

    64 28

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