Lung lesion screening and tracking

Principal Investigator

Name
Carla Leibowitz

Degrees
MS, MBA

Institution
Arterys

Position Title
Head of Strategy

Email
carla@arterys.com

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