Prediction of abnormalities in Chest X-Rays with Machine learning techniques
Principal Investigator
Name
Sasa Grbic
Degrees
Ph.D.
Institution
Siemens Medical Solutions
Position Title
Staff Scientist
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-311
Initial CDAS Request Approval
Oct 10, 2017
Title
Prediction of abnormalities in Chest X-Rays with Machine learning techniques
Summary
Explore possibility to predict abnormality in Chest X-Ray (collected within PLCO data base) with state of the art deep learning technologies.
Aims
Aim1: Building and testing existing deep neural networks to predict normal/vs abnormal scans based on solely Chest X-Rays (validation on accuracy, specificity and sensitivity)
Aim 2: Building and testing existing deep neural networks to predict abnormality labels based on solely Chest X-Rays (validation on accuracy, specificity and sensitivity)
Collaborators
Sasa Grbic
Dominik Neumann
Daguang Xu
Sebastian Guendel
Puneet Sharma
Yefeng Zheng