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
Hayit Greenspan
Degrees
Ph.D.
Institution
RadLogics
Position Title
Chief Scientist
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-436
Initial CDAS Request Approval
Aug 28, 2018
Title
Chest CT Image Analysis
Summary
Automatic analysis of Chest CT scans using deep learning algorithms to identify and measure certain medical findings, e.g, lung nodules, free air, free liquid.
Aims

* Use subset of the dataset to develop algorithms to identify certain medical findings, e.g., lung nodules, free air, free liquid.
* Use another subset of the dataset to validate algorithms perform to predetermined sensitivity and specificity performance criteria.

Collaborators

None