Diagnostic Image Analysis Group
- 136 followers
- Radboud University Medical Center, Nijmegen, The Netherlands
- http://www.diagnijmegen.nl
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neural-odes-segmentation
neural-odes-segmentation PublicNeural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
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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-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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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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pathology-he-auto-augment
pathology-he-auto-augment PublicH&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
Repositories
- pathology-whole-slide-learning Public
library for weak whole slide learning with attention to compress and classify whole slide images
DIAGNijmegen/pathology-whole-slide-learning’s past year of commit activity - pathology-whole-slide-packer Public
extracts tissue sections from one or multiple whole slide images and combines them into a single new slide removing excess white space
DIAGNijmegen/pathology-whole-slide-packer’s past year of commit activity - llm_extractinator Public
DIAGNijmegen/llm_extractinator’s past year of commit activity - bodyct-dram Public
DIAGNijmegen/bodyct-dram’s past year of commit activity - bodyct-dram-emph-subtype Public
DIAGNijmegen/bodyct-dram-emph-subtype’s past year of commit activity
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