RID-COVID: Radiological Image Data for Clinical Open-source Viral Infection Diagnosis

A list of software projects, datasets, and other publicly available resources for diagnosing COVID-19 based on clinical images such as X-rays and CT scans.

For now, the goal is to help people find what already exists. Eventually this effort may develop into a project to produce new diagnostic tools suitable for clinical use.

Software Projects and Tutorials

• SMART-CT-SCAN_BASED-COVID19_VIRUS_DETECTOR

  • Description: An image based Xray attempt at coronavirus2019 (covid19) diagnosis using a convolutional neural network design.
  • License: MIT License

• COVID-Net

  • Description: COVID-Net Open Source Initiative
    • Related research paper: COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images (Linda Wang, Zhong Qiu Lin, and Alexander Wong; Department of Systems Design Engineering, University of Waterloo, Canada; Waterloo Artificial Intelligence Institute, Canada; DarwinAI Corp., Canada)
  • License: GNU Affero General Public License 3.0

• IliasPap/COVIDNet

  • Description: PyTorch implementation of COVID-Net

• zeeshannisar/COVID-19

  • Description: Detecting and Visualising the Infectious Regions of COVID-19 in X-ray Images Using Different Pretrained-Networks in Tensorflow 2.x.

• Chester the AI Radiology Assistant

  • Description: NOT FOR MEDICAL USE. This is a prototype system for diagnosing chest x-rays using neural networks.
  • Implementations:
    • In-browser web app
    • Downloadable macOS app

• covid-19-detection

  • Description: The implementation of "Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label".
    • Related research paper: Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label (Chuangsheng Zheng, Xianbo Deng, Qiang Fu, Qiang Zhou, Jiapei Feng, Hui Ma, Wenyu Liu, Xinggang Wang; Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China; Artificial Intelligence Institute, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China) (Preprints: v1, v2)
  • Online implementation: http://39.100.61.27/ This website provides online testing on user-provided CT volume, and the results are the probabilities of being a normal person and being infected by COVID-19.
  • License: Creative Commons CC-BY-NC-SA-4.0
  • Related GitHub Gist: convert_dicom_to_npy.py

• elcronos/COVID-19 (Predecessor of FightCOVID19)

  • Description: COVID-19 Detector from x-rays using Computer Vision and Deep Learning
  • License: COVID-19 Detector by Camilo Pestana is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

• FightCOVID19

  • Description: Fight COVID-19 is a non-profit, collaborative community democratising AI to assist in the detection and triage of COVID-19 cases
  • Website (with information on upcoming Deepvision app): https://www.fightcovid19.ai/

• lightning-Covid19

  • Description: A detector for covid-19 chest X-ray images using PyTorch Lightning (for educational purposes)

• Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning

  • Description: In this tutorial, you will learn how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning.
  • Availability: (Source code can be downloaded upon request via website)

• covidhelper

  • Description: Detect COVID19 infection from RX and CT scans

• covid19_detector

  • Description: Using Deep Learning to detect Covid-19 from X-Ray/CT scans of patients

• COVID-19 Detection Neural Network (COVNet)

  • Description: This is a PyTorch implementation of the paper "Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT". It supports training, validation and testing for COVNet.

• Covid-19-X-Rays-Detector

  • Description: Detect Covid-19 infection from X-Rays

• COVID19-Detection

  • Description: CoronaVirus (COVID-19) detection using X_Ray Images

• Synthetic.Network

  • Description: NOT FOR MEDICAL USE. This is a prototype of a deep learning tool to diagnose frontal chest X-ray images and recognize bacterial pneumonia, viral pneumonia and coronavirus.

Image Data

• covid-chestxray-dataset

  • Description: We are building a database of COVID-19 cases with chest X-ray or CT images. We are looking for COVID-19 cases as well as MERS, SARS, and ARDS.
    • Related research paper: On the limits of cross-domain generalization in automated X-ray prediction (Joseph Paul Cohen; Mohammad Hashir; Rupert Brooks; Hadrien Bertrand Mila, Université de Montréal)
  • License: (Some images in this dataset are licensed under CC BY, CC BY-NC-SA, CC BY-NC-ND, or Apache 2.0; for many other images, the license is unknown)

• COVID-CT

  • Description: The COVID-CT-Dataset has CT images containing clinical findings of COVID-19. We are continuously adding new COVID CT images and we would like to invite the community to contribute COVID CTs as well.
    • Related research paper: COVID-CT-Dataset: A CT Scan Dataset about COVID-19 (Jinyu Zhao, UC San Diego; Yichen Zhang, UC San Diego; Xuehai He, UC San Diego; Pengtao Xie, UC San Diego, Petuum Inc)

• Figure1-COVID-chestxray-dataset

  • Description: Figure 1 COVID-19 Chest X-ray Dataset Initiative. We are building this dataset as a part of the COVIDx dataset to enhance our models for COVID-19 detection. Please see the main COVID-Net repo for details on data extraction and instructions for creating the full COVIDx dataset.

• covid19-images

  • Description: A large collection of COVID-19 radiology imaging datasets for use in machine learning.

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NOTE

This list focuses on a specific topic: image-based diagnosis of COVID-19.

For a broader range of COVID-19 projects and other information, I recommend lists such as Open-Source-Covid-19 and the Coronavirus Tech Handbook.