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Max-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography
We propose a feature selection method based on a sequential forward floating selection (SFFS) procedure to improve the performance of a classifier in computerized detection of polyps in CT colonography (CTC). The feature selection method is coupled with a nonlinear support vector machine (SVM) class...
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| Опубликовано в: : | IEEE J Biomed Health Inform |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2014
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4283828/ https://ncbi.nlm.nih.gov/pubmed/24608058 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JBHI.2013.2278023 |
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