Feature selection using mutual information in CT colonography
Computed tomographic (CT) colonography is a promising alternative to traditional invasive colonoscopic methods used in the detection and removal of cancerous growths, or polyps in the colon. Existing computer-aided diagnosis (CAD) algorithms used in CT colonography typically employ the use of a classifier to discriminate between true and false positives generated by a polyp candidate detection system based on a set of features extracted from the candidates. However, these classifiers often...[Show more]
|Collections||ANU Research Publications|
|Source:||Pattern Recognition Letters|
|01_Ong_Feature_selection_using_mutual_2011.pdf||462.42 kB||Adobe PDF||Request a copy|
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