Diagnostic Image Analysis Group

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1. rse-grand-challenge rse-grand-challenge Public

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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.

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3. neural-odes-segmentation neural-odes-segmentation Public

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4. 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 …

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5. picai_labels picai_labels Public

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

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6. 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%.

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