Investigation of image features and classification algorithms for lung disease identification

Principal Investigator

Name
Yiqiang Zhan

Institution
Siemens Medical Solutions

Position Title
Senior Key Expert

Email
yiqiang.zhan@siemens.com

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-155

Initial CDAS Request Approval
Sep 3, 2015

Title
Investigation of image features and classification algorithms for lung disease identification

Summary
Radiologists identify lung diseases based on their distinctive appearances in CT images. However, for computer algorithms, the optimal image features/classification methods to identify different lung diseases have not been fully explored. In this project, we aim to investigate the performance of different image features and classifiers in lung disease identification. Based on the investigation results, we will also develop a system to identify lung diseases in CT images.

Aims

1. Investigate the performance of different image features and classification algorithms in lung disease identification
2. Develop an algorithm to identify lung diseases in CT images
3. Evaluate the developed algorithms on a large scale dataset