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Computerized Heart and Lung Disease Detection in Low-dose CT Images

Principal Investigator
Name
Pingkun Yan
Degrees
Ph.D.
Institution
Rensselaer Polytechnic Institute
Position Title
Assistant Professor
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-382
Initial CDAS Request Approval
Dec 19, 2017
Title
Computerized Heart and Lung Disease Detection in Low-dose CT Images
Summary
In the proposed project, we will develop deep learning methods for quantification of imaging biomarkers from low-dose CT images for detection disease and cancer related with the heart and lung. The NLST datasets collected from large population of high-risk patients are extremely valuable and will be used for training and validating the developed methods.
Aims

To develop advanced deep learning techniques for improving the imaging information quantification for better association of cancer detection and disease diagnosis through the training on large scale dataset made available by NLST.

Collaborators

Ge Wang, Rensselaer Polytechnic Institute