SarderLab/Renal-Feature-Extraction

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Created about 1 year ago
Updated about 1 year ago

SarderLab/Renal-Feature-Extraction

SarderLab

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H-AI-L

A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)

Histo-cloud

tf-WSI-dataset-utils

An optimized pipeline for working with Whole Slide Image (WSI) data in Tensorflow

extract-xml-region

A code for extracting annotated regions from whole slide images (WSIs) anotated in Aperio Imagescope

WSI-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) datasets

DN_classification

WSI-stylegan

SKIE-Automated-neuroendocrine-tumor-grading

Multi-Compartment-Segmentation

HistoLens

tfWavelet

A fully differentiable implimentation of the discreate wavelet transform (DWT) in tensorflow

federated_learning

Federated learning using the Digital Slide Archive and HistomicsTK-deeplab

IFTA_segmentation

PodoCount

A tool for whole-slide podocyte quantification

Summary_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

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 space