… In this paper, we present a fully automated system processing digital postero-anterior (PA)
chest radiographs, that starts by producing an accurate segmentation of the lung field area. …

… adult chest radiographs were … chest radiographs from a single ceiling X-ray system (Samsung
Electronics Co., Ltd., Suwon, South Korea). Dataset B consisted of 570 chest radiographs …

… lung cancers on previous chest radiographs, we randomly … lung cancers on chest radiographs,
and KHL, a chest radiologist with … learning-based automated detection algorithm for major …

… Our results support several important observations regarding the use of CNNs for automated
binary triage of chest radiographs, which to our knowledge has not been attempted at a …

… Importance Interpretation of chest radiographs is a challenging task prone to errors, requiring
expert readers. An automated system that can accurately classify chest radiographs may …

… imaging tests in medical practice, chest radiography requires timely reporting of potential …
Automated, fast, and reliable detection of diseases based on chest radiography is a critical step …

… automated semantic labeling of medical images would be an efficient solution to this problem;
our algorithm is well-suited for such rapid automated … of classifying chest radiographs into …

… chest radiograph is defined by the following criteria: a frontal image performed in inspiration
showing a well-penetrated radiograph. … learning-based automated detection algorithm for …

Background It is critical to have a deep learning-based system validated on an external
dataset before it is used to assist clinical prognoses. The aim of this study was to assess the …

… In an effort to reduce the burden of the disease, this paper presents our automated approach
for detecting tuberculosis in conventional posteroanterior chest radiographs. We first extract …