Lung lesion screening and tracking
Principal Investigator
Name
Carla Leibowitz
Degrees
MS, MBA
Institution
Arterys
Position Title
Head of Strategy
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-278
Initial CDAS Request Approval
Jan 30, 2017
Title
Lung lesion screening and tracking
Summary
We aim to develop and clinically validate software that will help physicians identify and track lung lesions in chest CT scans. This software will use machine learning to identify lesions, as well as other software to track lesions longitudinally. Most of the data will be used for training the model, and the remainder will be used for validation.
Aims
- Develop a deep learning model to identify lung lesions
- Develop software that can track longitudinal lesions
- Validate the tools developed
Collaborators
Daniel Golden, Arterys
Felix Lau, Arterys
Sean Sall, Arterys