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
sasa.grbic@siemens.com

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