Computer Aided Diagnosys systems for Chest X-Ray images
Principal Investigator
Name
Bram van Ginneken
Degrees
Prof. dr.
Institution
Radboudumc
Position Title
Professor of Medical Image Analysis
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-372
Initial CDAS Request Approval
Jun 19, 2018
Title
Computer Aided Diagnosys systems for Chest X-Ray images
Summary
Explore machine learning and deep learning solutions to create robust abnormality classification and localization solutions for chest X-Ray images.
Aims
Aim 1: Training and testing computer aided diagnosis models using this dataset.
Aim 2: Validating the robustness of existing computer aided diagnosis models that were trained on other datasets.
Collaborators
Bram van Ginneken, Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Netherlands
Keelin Murphy, Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Netherlands
Ecem Lago, Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Netherlands
Erdi Calli, Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Netherlands