Discover SarderLab/Aperio-XML-tools Open Source project

Stars
1
Language
Python
Created about 4 years ago
Updated about 4 years ago

SarderLab

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Code for consuming and creating XML annotations in Aperio Imagescope. Transfers between pixel and contour space

H-AI-L

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

Python

Histo-cloud

Python

tf-WSI-dataset-utils

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

Python

extract-xml-region

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

Python

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.

Python

WSI-cycleGAN

An version of the popular cycleGAN architecture, optimized for whole slide image (WSI) datasets

Python

DN_classification

Python

WSI-stylegan

Python

SKIE-Automated-neuroendocrine-tumor-grading

Python

Multi-Compartment-Segmentation

Python

HistoLens

MATLAB

tfWavelet

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

Python

federated_learning

Federated learning using the Digital Slide Archive and HistomicsTK-deeplab

Python

IFTA_segmentation

PodoCount

A tool for whole-slide podocyte quantification

Python

Summary_Feature_Extraction

Python

Microvascular_invasion

HTML

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.

Python

PodoSighter

Python

Renal-Feature-Extraction

MATLAB

Object_and_Feature_Extraction

Python

HistomicsTK_PodoSighter

Python

HistomicsTK-PodoCount

Python

SarderLab/Aperio-XML-tools

SarderLab

Reviews

Repository Details

More Repositories