175 Open source projects that are alternatives of or similar to Staintools

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Website for NA-MIC Project Weeks

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Odil is a C++11 library for the DICOM standard

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

The OHIF Medical Imaging Viewer is for viewing medical images. It can retrieve and load images from most sources and formats; render sets in 2D, 3D, and reconstructed representations; allows for the manipulation, annotation, and serialization of observations; supports internationalization, OpenID Connect, offline use, hotkeys, and many more features.

Cookbook examples for the Insight Toolkit documented with Sphinx

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

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Awesome list of software that I use to do research in medical imaging.

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at

DICOM Web Viewer: open source zero footprint medical image viewer.

DICOM Viewer in Nextcloud

Deep Learning tools for brain medical images

DLTK Model Zoo

Segment Source Distribution

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

A platform for end-to-end development of machine learning solutions in biomedical imaging

Framework for medical image segmentation using deep neural networks

Official public repository of Gate

A medical imaging framework for Pytorch

Starviewer, a cross-platform open source medical imaging software

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

⚡High Performance DICOM Medical Image Parser in Go.

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

SegAN: Semantic Segmentation with Adversarial Learning

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

JavaScript library to display interactive medical images including but not limited to DICOM

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Javascript implementation of DICOM manipulation

A list of Medical imaging datasets.

MNE-CPP: A Framework for Electrophysiology

Classification for covid-19 chest X-ray images using Lightning

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Slicer extensions index

OSS Implementation of DICOMweb standard

Robust 3D Neuron Tracing / General 3D tree structure extraction in Python for 3D images powered by the Rivulet2 algorithm. Pain-free Install & use in 5 mins.

Open solution to the Data Science Bowl 2018

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

Deep Learning Papers on Medical Image Analysis

Tensorflow implementation of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs

Tools for MRI mouse brain morphometry

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Multi-platform, free open source software for visualization and image computing.

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

Medical image preprocessing and augmentation toolkit for deep learning

Awesome GAN for Medical Imaging

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Pure Rust implementation of the DICOM standard

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Deep Reinforcement Learning (DRL) agents applied to medical images

Deep Learning Toolkit for Medical Image Analysis