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