16 datasets found

A hospital-scale chest X-ray database, namely “ChestX-ray8”, which comprises 108,948 frontal-view X-ray images of 32,717 unique patients with the text-mined eight common disease...

The proposed model uses integrative CT images for the COVID-19 dataset, including 1521 patients with or without COVID-19 pneumonia and their recorded clinical features epidemic.

A dataset of chest X-ray images of children with pneumonia.

COVID-19 CT images of the lungs, ground glass turbidity is the most common finding that requires specialist diagnosis.

Publicly available biomedical image dataset used for training a deep learning model

A publicly available dataset containing chest X-ray images of 3616 coronavirus disease (COVID-19), 10192 healthy, 6012 lung opacity, and 1340 Pneumonia

Chest X-ray images dataset for COVID-19 pneumonia detection

The dataset used in this study comprises X-ray images representing pneumonia cases and those depicting normal conditions.

CheXNet dataset

The NIH dataset contains 14 different diseases, including pneumonia, and is used for training and testing machine learning models.

The RSNA dataset contains 26,684 frontal-view chest X-ray images, all of which are labeled as either 0 (no pneumonia) or 1 (pneumonia).

The COVIDx dataset is a combination of many publicly available datasets for COVID-19 image classification.

The RSNA Pneumonia Detection Challenge dataset comprises 30,000 frontal-view CXR images, with each image labeled as “Normal,” “No Opacity/Not Normal,” or “Opacity” by one to...

A custom dataset for COVID-19 detection, pneumonia, and normal images

A chest X-ray dataset for COVID-19 detection, pneumonia, and normal images

The dataset of Chest X-Ray Images Pneumonia