Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images

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@Article{Choi201257,

• author = "Wook-Jin Choi and Tae-Sun Choi",
• title = "Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images",
• journal = "Information Sciences",
• volume = "212",
• pages = "57--78",
• year = "2012",
• month = "1 " # dec,
• ISSN = "0020-0255",
• DOI = "doi:10.1016/j.ins.2012.05.008",
• URL = "http://www.sciencedirect.com/science/article/pii/S0020025512003362",
• keywords = "genetic algorithms, genetic programming, CT, Pulmonary nodule detection, CAD",
• abstract = "An effective automated pulmonary nodule detection system can assist radiologists in detecting lung abnormalities at an early stage. In this paper, we propose a novel pulmonary nodule detection system based on a genetic programming (GP)-based classifier. The proposed system consists of three steps. In the first step, the lung volume is segmented using thresholding and 3D-connected component labelling. In the second step, optimal multiple thresholding and rule-based pruning are applied to detect and segment nodule candidates. In this step, a set of features is extracted from the detected nodule candidates, and essential 3D and 2D features are subsequently selected. In the final step, a GP-based classifier (GPC) is trained and used to classify nodules and non-nodules. GP is suitable for detecting nodules because it is a flexible and powerful technique; as such, the GPC can optimally combine the selected features, mathematical functions, and random constants. Performance of the proposed system is then evaluated using the Lung Image Database Consortium (LIDC) database. As a result, it was found that the proposed method could significantly reduce the number of false positives in the nodule candidates, ultimately achieving a 94.1percent sensitivity at 5.45 false positives per scan.",

}

Genetic Programming entries for Wook-Jin Choi Tae Sun Choi

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