Pushing the boundaries: feature extraction from the lung improves pulmonary nodule classification

Pushing the boundaries: feature extraction from the lung improves pulmonary nodule classification

Lung cancer is the leading cause of cancer death in the United States. While low-dose computed tomography (CT) screening reduces lung cancer mortality by 20%, 97% of suspicious lesions are found to be benign upon further investigation. Computer-aided diagnosis (CAD) tools can improve the accuracy of...

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Bibliographic Details
Main Author: Dilger, Samantha Kirsten Nowik
Other Authors: Sieren, Jessica C.
Format: Others
Language:English
Published: University of Iowa 2016
Subjects:
publicabstract
Cancer Screening
Computed Tomography
Computer-Aided Diagnosis
Lung Cancer
Lung Parenchyma
Pulmonary Nodule
Biomedical Engineering and Bioengineering
Online Access:https://ir.uiowa.edu/etd/3071
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=6415&context=etd

Internet

https://ir.uiowa.edu/etd/3071
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=6415&context=etd

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