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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
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