visionpathology

visionpathology

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visionpathology's repositories

pathml

Tools for computational pathology

License:GPL-2.0Stargazers:0Issues:0Issues:0

medical-imaging

ML-based medical imaging using Azure

License:MITStargazers:0Issues:0Issues:0

tutorials

MONAI Tutorials

License:Apache-2.0Stargazers:0Issues:0Issues:0

kaggle_sandbox

a starting point for Kaggle attempt :]

License:MITStargazers:0Issues:0Issues:0

tiatoolbox

Computational Pathology Toolbox developed by TIA Lab

License:GPL-3.0Stargazers:0Issues:0Issues:0

TOAD

AI-based pathology predicts origins for cancers of unknown primary - Nature

License:AGPL-3.0Stargazers:0Issues:0Issues:0

DeepPATH

Classification of Lung cancer slide images using deep-learning

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interpretAI_DigiPath

Hands-on Sessions 1 and 2 at the Building Interpretable AI for Digital Pathology AMLD workshop 2021

License:MITStargazers:0Issues:0Issues:0

torchio

Medical image preprocessing and augmentation toolkit for deep learning

License:Apache-2.0Stargazers:0Issues:0Issues:0

histocartography

Histocartography is a framework bringing together AI and Digital Pathology

License:AGPL-3.0Stargazers:0Issues:0Issues:0

histolab

Library for Digital Pathology Image Processing

License:Apache-2.0Stargazers:0Issues:0Issues:0

meditorch

A PyTorch package for biomedical datasets processing, development and testing.

License:MITStargazers:0Issues:0Issues:0

wsi-tile-cleanup

Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning

License:GPL-3.0Stargazers:0Issues:0Issues:0
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wsi-preprocessing-sos-workflow

A pipeline to preprocess whole-slide images (WSI) towards deep learning

License:GPL-3.0Stargazers:0Issues:0Issues:0

ec2-setup-sos-workflow

Automatic setup of EC2 instances and EBS volumes via SoS Workflow

License:GPL-3.0Stargazers:0Issues:0Issues:0

wsi-preprocessing

Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning

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python-wsi-preprocessing

Python Whole Slide Image Preprocessing

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deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

License:Apache-2.0Stargazers:0Issues:0Issues:0