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  1. pydiq pydiq Public

    Forked from janpipek/pydiq

    Simple DICOM browser in Python (currently not maintained)

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  2. pytorch-multilabel-balanced-sampler pytorch-multilabel-balanced-sampler Public

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  3. StreamingCNN StreamingCNN Public

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    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 …

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

    Forked from DIAGNijmegen/pathology-streaming-pipeline

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

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  5. pathology-he-auto-augment pathology-he-auto-augment Public

    Forked from DIAGNijmegen/pathology-he-auto-augment

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

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  6. pathology-whole-slide-data pathology-whole-slide-data Public

    Forked from DIAGNijmegen/pathology-whole-slide-data

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

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