COVID-19: A Survey on Public Medical Imaging Data Resources

Abstract

This regularly updated survey provides an overview of public resources that offer medical images and metadata of COVID-19 cases. The purpose of this survey is to simplify the access to open COVID-19 image data resources for all scientists currently working on the coronavirus crisis.

References in corpus (3)

• COVID-19 Image Data Collection
• COVID-CT-Dataset: A CT Scan Dataset about COVID-19
• POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

Cited by in corpus (6)

• Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts
• Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis
• POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)
• BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset
• An encoder-decoder-based method for COVID-19 lung infection segmentation
• A free web service for fast COVID-19 classification of chest X-Ray images