Efficient feature selection for polyp detection
Computed tomographic colonography (CTC) is a promising alternative to traditional invasive colonoscopic methods used in the detection and removal of cancerous growths, or polyps in the colon. Existing algorithms for CTC typically use a classifier to discriminate between true and false positives generated by a polyp candidate detection system. However, these classifiers often suffer from a phenomenon termed the curse of dimensionality, whereby there is a marked degradation in the performance of...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of IEEE International Conference on Image Processing 2010|
|01_Seghouane_Efficient_feature_selection_2010.pdf||347.16 kB||Adobe PDF||Request a copy|
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