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asap

Program for the analysis and visualization of whole-slide images in digital pathology

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

create-ml-app

Template Makefile for ML projects in Python.

cv-backbones

CV backbones including GhostNet, TinyNet and TNT.

deep-histopath

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

deeppath

Classification of Lung cancer slide images using deep-learning

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

digital_slide_archive

The official deployment of the Digital Slide Archive and HistomicsTK.

digitalhistopath

dsa-wsi-deid

A workflow for redacting PHI from whole slide images (WSI) based on the Digital Slide Archive.

erg-gene-fusion-status-prostate-cancer

Supplemental code for "Leveraging Artificial Intelligence to Predict ERG Gene Fusion Status in Prostate Cancer"

face_detection

fairy

Fast and Scalable Image Search for Histology

histomics_stream

A whole-slide image reader for TensorFlow

histomicstk

A Python toolkit for pathology image analysis algorithms.

histomicsui

A Girder plugin for pathology image annotations and analysis.

imageprocessing

A wp7 that measures pulse using camera.

mcspatnet

Repository for ICCV2021 MCSpatNet: Multi-Class Cell Detection Using Spatial Context Representation

mil-nature-medicine-2019

mtcnn

MTCNN face detection implementation for TensorFlow, as a PIP package.

openseadragon

An open-source, web-based viewer for zoomable images, implemented in pure JavaScript.

paintapp

Paint

patch-gcn

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

pathflowai

A High-Throughput Workflow for Preprocessing, Deep Learning Analytics and Interpretation in Digital Pathology

pathomicfusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI

pcam

The PatchCamelyon (PCam) deep learning classification benchmark.

scikit-learn

scikit-learn: machine learning in Python

slides_to_tiles

tcga_segmentation

Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024