covid-chestxray-dataset and covid-19-xray-dataset
These are complementary resources: the first provides raw COVID-19 chest X-ray images for model training, while the second provides pixel-level lung segmentation annotations that enable supervised learning for segmentation tasks on those same images.
About covid-chestxray-dataset
ieee8023/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
This dataset offers a comprehensive collection of chest X-ray and CT images from patients with confirmed or suspected COVID-19, as well as other viral and bacterial pneumonias. It provides medical imaging data and associated annotations to help researchers and medical professionals develop artificial intelligence tools for diagnosing and understanding respiratory infections. Medical imaging researchers and AI developers working on diagnostic tools would use this to train and evaluate their models.
About covid-19-xray-dataset
v7labs/covid-19-xray-dataset
12000+ manually drawn pixel-level lung segmentations, with and without covid
This dataset offers over 6,500 chest X-ray images, including 517 COVID-19 cases, each with meticulously drawn pixel-level lung segmentations. It provides classified X-rays (viral, bacterial, fungal pneumonia, or healthy) and additional patient metadata for COVID-19 cases, such as age, sex, and outcome. Radiologists, medical researchers, and AI developers can use this data to train and validate models for chest X-ray analysis.
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