Prediction of abnormalities in Chest X-Rays with deep learning techniques
Principal Investigator
Name
Sasa Grbic
Degrees
Ph.D.
Institution
Siemens Medical Solutions
Position Title
Staff Scientist
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-397
Initial CDAS Request Approval
Apr 9, 2018
Title
Prediction of abnormalities in Chest X-Rays with deep learning techniques
Summary
Explore methods to predict abnormality in Chest X-Ray (collected within NLST data base) with novel deep learning technologies.
Aims
Aim 1: Building and testing existing deep neural networks to predict abnormality labels based on solely Chest X-Rays (validation on accuracy, specificity and sensitivity)
Aim 1: Building and testing existing deep neural networks to predict normal vs abnormal labels based on solely Chest X-Rays (validation on accuracy, specificity and sensitivity)
Collaborators
Sasa Grbic
Siqi Liu
Dominik Neumann
Sebastian Guendel
Bogdan Georgescu
Puneet Sharma