15 datasets found

The REFLACX dataset contains reports and eye-tracking data for localization of abnormalities in chest x-rays.

The PAXRay dataset consists of projected chest X-ray images paired with fine-grained anatomical structures.

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...

A novel approach for multi-label chest X-ray classification of common thorax diseases.

The dataset used for training and evaluation of the eCLIP model, consisting of chest X-ray images and corresponding radiology reports.

The dataset used for training and evaluation of the eCLIP model, consisting of chest X-ray images and corresponding radiology reports.

The dataset used for training and evaluation of the eCLIP model, consisting of chest X-ray images and corresponding radiology reports.

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 Chexpert dataset is a large chest radiograph dataset with uncertainty labels and expert comparison.

The ChestX-ray dataset is a collection of chest X-ray images with annotations for lung nodules and other abnormalities.

A publicly available radiology dataset of chest x-rays and reports that is a subset of the OpenI open source literature and biomedical image collections.

Radiology report generation dataset

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...

The dataset used in this paper is the SIIM-ACR Pneumothorax Segmentation Challenge dataset, which contains 12,047 training images and 3,205 testing images.

MIMIC-CXR is a comprehensive collection of de-identified Chest X-ray (CXR) data acquired from Beth Israel Deaconess Medical Center in Boston, United States. MIMIC-CXR includes...