COVID-19 Image Data Collection

Joseph Paul Cohen; Lan Dao; Paul Morrison

COVID-19 Image Data Collection

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arxiv 2003.11597 v1 pith:VMDZ3KZG submitted 2020-03-25 eess.IV cs.CVcs.LGq-bio.QM

Joseph Paul Cohen , Paul Morrison , Lan Dao This is my paper

classification eess.IVcs.CVcs.LGq-bio.QM

keywords collectioncovid-19dataimageassemblingcontainscreatedcurrently

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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.

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Cited by 1 Pith paper

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Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data
eess.IV 2026-07 conditional novelty 2.0 of 10

On 668 public chest X-rays, SVM with HOG/GLCM features achieves 75.4% accuracy (AUC 0.755) for COVID-19 vs other pneumonia, modestly above the 71.6% majority baseline.

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