Diagnostic Image Analysis Group
- 197 followers
- Radboud University Medical Center, Nijmegen, The Netherlands
- http://www.diagnijmegen.nl
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rse-grand-challenge
rse-grand-challenge PublicA platform for end-to-end development of machine learning solutions in biomedical imaging
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neural-odes-segmentation
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pathology-whole-slide-data
pathology-whole-slide-data PublicA 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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StreamingCNN
StreamingCNN PublicTo 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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pathology-streaming-pipeline
pathology-streaming-pipeline PublicUse streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.
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picai_labels
picai_labels PublicAnnotations for the PI-CAI Challenge: Public Training and Development Dataset
Repositories
- rse-grand-challenge Public
A platform for end-to-end development of machine learning solutions in biomedical imaging
DIAGNijmegen/rse-grand-challenge’s past year of commit activity - pathology-clam-addmil Public
DIAGNijmegen/pathology-clam-addmil’s past year of commit activity - nnUNet-for-pathology Public Forked from MIC-DKFZ/nnUNet
Adapted nnUNet framework with additional features to suit the requirements for pathology applications
DIAGNijmegen/nnUNet-for-pathology’s past year of commit activity - rse-cirrus-benchmark-suite Public
A small playwright-based CIRRUS benchmark suite, meant to detect speedups or slowdowns.
DIAGNijmegen/rse-cirrus-benchmark-suite’s past year of commit activity - pathology-hooknet-tls Public
DIAGNijmegen/pathology-hooknet-tls’s past year of commit activity
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