Computer-aided detection of pulmonary nodules using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Choi:2010:ICIP,
  author =       "Wook-Jin Choi and Tae-Sun Choi",
  title =        "Computer-aided detection of pulmonary nodules using
                 genetic programming",
  booktitle =    "17th IEEE International Conference on Image Processing
                 (ICIP 2010 )",
  year =         "2010",
  month =        "26-29 " # sep,
  pages =        "4353--4356",
  abstract =     "This paper describes a novel nodule detection method
                 that enhances false positive reduction. Lung region is
                 extracted from CT image sequence using adaptive
                 thresholding and 18-connectedness voxel labelling. In
                 the extracted lung region, nodule candidates are
                 detected using adaptive multiple thresholding and rule
                 based classifier. After that, we extract the 3D and 2D
                 features from nodule candidates. The nodule candidates
                 are then classified using genetic programming (GP)
                 based classifier. In this work, a new fitness function
                 is proposed to generate optimal adaptive classifier. We
                 tested the proposed algorithm by using Lung Imaging
                 Database Consortium (LIDC) database of National Cancer
                 Institute (NCI). The classifier was trained and
                 evaluated using two independent dataset and whole
                 dataset. The proposed method reduced the false
                 positives in nodule candidates and achieved 92percent
                 detection rate with 6.5 false positives per scan.",
  keywords =     "genetic algorithms, genetic programming, CT image
                 sequence, adaptive thresholding, computer-aided
                 detection, false positive reduction, feature
                 extraction, fitness function, lung imaging database
                 consortium, lung region, nodule detection, pulmonary
                 nodules, rule based classifier, voxel labelling,
                 computerised tomography, feature extraction, image
                 classification, image segmentation, image sequences,
                 lung, medical image processing",
  DOI =          "doi:10.1109/ICIP.2010.5652369",
  ISSN =         "1522-4880",
  notes =        "Sch. of Inf. & Mechatron., Gwangju Inst. of Sci. &
                 Technol. (GIST), Gwangju, South Korea. Also known as
                 \cite{5652369}",
}

Genetic Programming entries for Wook-Jin Choi Tae Sun Choi

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