Longitudinal assessment of the lung images

Principal Investigator

Name
Yul Kang

Degrees
M.D.

Institution
Columbia University

Position Title
PhD Student

Email
hk2699@columbia.edu

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-249

Initial CDAS Request Approval
Oct 13, 2016

Title
Longitudinal assessment of the lung images

Summary
Computer programs have automatically identified lung nodules in static images. This project will examine if the automatic identification can benefit from using the CT images taken repeatedly from the same patient. An automated learning algorithm will be trained to identify lung nodules by comparing images taken from the same patient over multiple years. Its performance will be compared with algorithms without the capability to compare images taken from the same patient.

Aims

I will examine if an automated learning algorithm can identify lung nodules better if it can compare between images taken repeatedly from the same patient across multiple years.

Collaborators

N.A.