Deep learning in lung cancer CAD
Principal Investigator
Name
Xin Zhong
Degrees
Master's degree
Institution
12 Sigma Technologies
Position Title
CEO
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-191
Initial CDAS Request Approval
Jan 25, 2016
Title
Deep learning in lung cancer CAD
Summary
We are to design a lung cancer CAD system which applies deep learning techniques in lung cancer nodule detection. Further more, we will apply similar machine learning methods to achieve autonomous lung cancer diagnosis. Our approach is a data driven one that utilizes the spiral lung CT scans which has been labeled by the physicians, and our immediate goal is to achieve detection accuracy higher than all those in all known lung cancer CAD methods.
Aims
High precision sensitivity (>95%) in lung cancer nodule detection with the selectivity > 25% in all types and sizes of lung cancer nodules.
Collaborators
Dashan Gao, 12 Sigma Technologies
Shigao Chen, Mayo Clinic, Mayo Graduate School
Yuxin Li, VA Greater Los Angeles Healthcare System