Chest X-Ray Dataset for Respiratory Disease Classification
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Chest X-Ray Dataset for Respiratory Disease Classification
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Identifier |
https://doi.org/10.7910/DVN/WNQ3GI
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Creator |
Basu, Arkaprabha
Das, Sourav Ghosh, Susmita Mullick, Sankha Gupta, Avisek Das, Swagatam |
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Publisher |
Harvard Dataverse
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Description |
The dataset contains a five-class classification problem on moderate resolution chest X-Ray radiography images. Four out of the five classes are respiratory diseases while the last is normal. The dataset is actually an amalgamation of several other datasets collected from various sources. The focus of the dataset is to focus on the research of distinguishing COVID-19 from other respiratory diseases such as Pneumonia, Tuberculosis, Lung Opacity, and Normal instances. Please find further details in the README inside devkit.zip |
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Subject |
Medicine, Health and Life Sciences
Chest X-Ray Classification Respiratory Disease COVID-19 |
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Contributor |
Mullick, Sankha
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