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.

Continued deep learning modeling for early detection

Principal Investigator
Name
Jeremy Howard
Degrees
BA
Institution
University of San Francisco
Position Title
Distinguished Research Scientist
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-274
Initial CDAS Request Approval
Jan 25, 2017
Title
Continued deep learning modeling for early detection
Summary
Whilst at Enlitic I initiated the first research into the use of deep learning for early diagnosis of lung cancer, with very promising results. Having moved into academia, I would like to develop this research in a more open setting.
Aims

- Develop open research showing how to utilize deep learning for early detection of lung cancer
- Investigate recent advances in deep learning and their impact on detection
- Build automatic segmentation and lesion tracking tools

Collaborators

Dr Rachel Thomas, Faculty, University of San Francisco