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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 106 28

  2. 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 98 22

  3. 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 93 27

  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 75 10

  5. pathology-hooknet pathology-hooknet Public

    Jupyter Notebook 53 10

  6. pathology-he-auto-augment pathology-he-auto-augment Public

    H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.

    Python 52 7

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