22 datasets found

A large chest radiograph dataset with labels for common thorax diseases.

A large chest radiograph dataset with labels for common thorax diseases.

Chest X-ray datasets used to train machine learning models, potentially suffering from population, prevalence, and annotation shift biases.

COVID-19 identification in chest x-ray images using lung segmentation and explainable artificial intelligence techniques.

A database of 332 PA chest X-ray images for research purposes.

A database of 7517 PA chest X-ray images for research purposes.

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...

Compressed Sensing MRI reconstruction using a Generative Adversarial Network with a Cyclic Loss

Chest radiography is one of the most ubiquitous diagnostic modalities for cardiothoracic and pulmonary abnormalities in the clinical setting. A timely diagnostic based on the...

This dataset is created for medical AI development, focusing on chest x-ray prioritization software for global use.

Chest x-ray database from Kaggle consisting of 5863 chest x-ray images chosen from retrospective cohorts of pediatric patients graded by two expert physicians.

COVID-19 x-ray image dataset including 392 COVID-19 postero-anterior chest x-ray images annotated with severity level.

MIMIC-CXR-JPG dataset comprises 227,835 imaging studies conducted on 64,588 patients who sought treatment at the BIDMC Emergency Department from 2011 to 2016.

The dataset of chest x-rays used in this paper come from COVID-19 image data collection from Joseph Paul Cohen and Paul Morrison and Lan Dao. This dataset contains x-rays of...

Chest radiography is a relatively cheap, widely available medical procedure that conveys key information for making diagnostic decisions. Chest X-rays are frequently used in the...

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...

Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated...

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

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

Chest X-ray dataset for abnormality localization in heterogeneous data with cross-domain self-supervised learning