… The US National Library of Medicine has made two datasets of postero-anterior (PA) chest
… Both datasets contain normal and abnormal chest X-rays with manifestations of TB and …

… working with chest X-ray datasets and deep learning models. It provides a common interface
and common pre-processing chain for a wide set of publicly available chest X-ray datasets. …

… large, publicly available chest X-ray datasets in recent years … In this paper, we review all
studies using deep learning on chest … Detailed descriptions of all publicly available datasets are …

… chest x-ray dataset for the automated exploration of medical images along with their associated
reports. This dataset … one of the largest public chest x-ray databases suitable for training …

… In this paper, we used deep learning to predict a person’s age on Chest X-Rays. Specifically,
we trained a CNN in regression fashion on a large publicly available dataset. Moreover, for …

… Most of the existing chest X-ray datasets include labels from a list of findings without … of
chest abnormalities. In this work, we describe a dataset of more than 100,000 chest X-ray scans …

… a dataset of labeled chest radiographs from a large general hospital in the region of São Paulo,
Brazil. The BRAX dataset … We hope this dataset can contribute to reducing the number of …

… In this paper, a GAN with deep transfer learning for COVID-19 detection in limited chest X-ray
images is presented. The lack of benchmark datasets for COVID-19 especially in chest X-…

… In this study, we used ChestX-ray14 9 , a large public chest X-ray dataset whose pathology
labels were text-mined from X-ray reports. We chose ChestX-ray14 because it is known to …

… of public datasets that capture eye gaze data in the chest X-Ray (CXR) space, we present a
new dataset … This dataset consists of eye gaze information recorded from a single radiologist …