Maestro
Principal Investigator
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-463
Initial CDAS Request Approval
Jan 2, 2019
Title
Maestro
Summary
We are creating a machine learning atlas of anatomy and pathology for the chest. We plan to use the MD.ai platform to annotate the CT scans and create machine learning models for segmentation and classification of chest anatomy.
Aims
- Segment chest anatomy
- Develop a segmentation machine learning model
- Identify abnormalities
- Develop a machine learning differentiator for normal/abnormal for the relevant chest structures
- Classify abnormalities
- Train a classification machine learning algorithm
Collaborators
George Shih, MD.ai
Leon Chen, MD.ai
Takashi Okada, NTT Data partner to MD.ai
Daria Bunu San, , NTT Data partner to MD.ai