Skip to Main Content

An official website of the United States government

Government Funding Lapse

Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted. The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit  cc.nih.gov. Updates regarding government operating status and resumption of normal operations can be found at OPM.gov.

Principal Investigator
Name
Junzhou Huang
Degrees
Ph.D.
Institution
The University of Texas at Arlington
Position Title
Professor
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-391
Initial CDAS Request Approval
Aug 20, 2018
Title
Thoracic Disease Classification and Localization on Chest X-rays
Summary
Chest X-ray imaging is currently one of the most widely available radiological examinations for screening and clinical diagnosis. In clinical practice, the analysis and diagnosis based on chest X-rays are heavily dependent on the expertise of radiologists with at least years of professional experience. Therefore, there is a critical need for a computer-aided system that is able to automatically detect different types of thoracic diseases merely from reading patients’ chest X-ray images.
Aims

Design the computer-aided system that is able to automatically detect different types of thoracic diseases merely from reading patients’ chest X-ray images.

Collaborators

The University of Texas at Arlington