Computer-Aided Diagnosis of Chest X-Rays
Principal Investigator
Name
Daguang Xu
Degrees
Ph.D.
Institution
NVIDIA
Position Title
Research Manager
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-349
Initial CDAS Request Approval
Mar 2, 2018
Title
Computer-Aided Diagnosis of Chest X-Rays
Summary
Chest X-rays are the most common radiological scan. Effective computer-aided diagnosis tools can serve as a frontline for clinicians, both in developed and developing countries. Our project aims to make this vision a reality, by developing effective clinical tools to improve time and cost efficiency and improve patient outcomes.
Aims
-Use modern deep learning tools to develop and commercialize state of the art computer-aided diagnosis solutions for chest x-rays.
-Measure performance against clinically relevant metrics.
-Positively impact clinical workflows.
Collaborators
NVIDIA