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
jphoward@usfca.edu

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