COVID-19 Image Data Collection
Joseph Paul Cohen, Paul Morrison, Lan Dao

TL;DR
This paper presents an initial collection of COVID-19 related medical images, specifically 123 frontal view X-rays, assembled from various online sources to support research and diagnosis.
Contribution
It introduces a publicly available dataset of COVID-19 X-ray images, compiled from multiple sources, to facilitate medical research and AI development.
Findings
Dataset contains 123 COVID-19 X-ray images.
Images collected from websites and publications.
Provides a resource for COVID-19 diagnosis research.
Abstract
This paper describes the initial COVID-19 open image data collection. It was created by assembling medical images from websites and publications and currently contains 123 frontal view X-rays.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCOVID-19 diagnosis using AI · Radiomics and Machine Learning in Medical Imaging · AI in cancer detection
