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H-AI-L
A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)tf-WSI-dataset-utils
An optimized pipeline for working with Whole Slide Image (WSI) data in Tensorflowextract-xml-region
A code for extracting annotated regions from whole slide images (WSIs) anotated in Aperio ImagescopeWSI-ProGAN
A modified version of ProGAN which trains using whole slide images (WSIs). Patches are extracted from WSIs at training time removing the need for WSI chopping.WSI-cycleGAN
An version of the popular cycleGAN architecture, optimized for whole slide image (WSI) datasetsDN_classification
WSI-stylegan
SKIE-Automated-neuroendocrine-tumor-grading
Multi-Compartment-Segmentation
HistoLens
tfWavelet
A fully differentiable implimentation of the discreate wavelet transform (DWT) in tensorflowfederated_learning
Federated learning using the Digital Slide Archive and HistomicsTK-deeplabIFTA_segmentation
PodoCount
A tool for whole-slide podocyte quantificationSummary_Feature_Extraction
Microvascular_invasion
custom_CNN_using_tensorflow
This is a code which was created by Brendon Lutnick to demonstrate efficient input pipelines and how to create a custom CNN in tensorflow using image data.PodoSighter
Renal-Feature-Extraction
Object_and_Feature_Extraction
HistomicsTK_PodoSighter
HistomicsTK-PodoCount
Aperio-XML-tools
Code for consuming and creating XML annotations in Aperio Imagescope. Transfers between pixel and contour spaceLove Open Source and this site? Check out how you can help us