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

Information Sciences

Volumn 212, Issue , 2012, Pages 57-78

  Choi, Wook Jin ^a   Choi, Tae Sun ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

Author keywords

CAD; CT; Genetic programming; Pulmonary nodule detection

Indexed keywords

AUTOMATIC DETECTION; COMPUTED TOMOGRAPHY IMAGES; CONNECTED COMPONENT LABELING; CT; FALSE POSITIVE; FEATURE TRANSFORM; IMAGE DATABASE; LUNG ABNORMALITIES; LUNG VOLUME; MATHEMATICAL FUNCTIONS; PULMONARY NODULE DETECTION; PULMONARY NODULES; RULE BASED; THRESHOLDING;

BIOLOGICAL ORGANS; COMPUTER AIDED DESIGN; FUNCTIONS; GENETIC PROGRAMMING; POSITRON EMISSION TOMOGRAPHY; THREE DIMENSIONAL;

COMPUTERIZED TOMOGRAPHY;

EID: 84863006941     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2012.05.008     Document Type: Article

References (28)

1. S.G. Armato, M.L. Giger, C.J. Moran, J.T. Blackburn, K. Doi, and H. MacMahon Computerized detection of pulmonary nodules on CT scans Radiographics 19 1999 1303 1311
2. S.G. Armato, G. McLennan, M.F. McNitt-Gray, C.R. Meyer, D. Yankelevitz, D.R. Aberle, C.I. Henschke, E.A. Hoffman, E.A. Kazerooni, H. MacMahon, A.P. Reeves, B.Y. Croft, L.P. Clarke, and L.I.D.C.R. Group Lung image database consortium: developing a resource for the medical imaging research community Radiology 232 2004 739 748 (Pubitemid 39100258)
3. M. Brown, M. McNitt-Gray, J. Goldin, R. Suh, J. Sayre, and D. Aberle Patient-specific models for lung nodule detection and surveillance in CT images IEEE Transactions on Medical Imaging 20 2001 1242 1250 (Pubitemid 34125133)
4. M. Brown, M. McNitt-Gray, N. Mankovich, J. Goldin, J. Hiller, L. Wilson, and D. Aberie Method for segmenting chest CT image data using an anatomical model: preliminary results IEEE Transactions on Medical Imaging 16 1997 828 839 (Pubitemid 127770442)
5. B. Chandra, and P. Paul Varghese Moving towards efficient decision tree construction Information Sciences 179 2009 1059 1069
6. J. Dehmeshki, X. Ye, X. Lin, M. Valdivieso, and H. Amin Automated detection of lung nodules in CT images using shape-based genetic algorithm Computerized Medical Imaging and Graphics 31 2007 408 417 (Pubitemid 47043380)
7. P. Espejo, S. Ventura, and F. Herrera A survey on the application of genetic programming to classification IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 40 2010 121 144
8. S. Hu, E. Hoffman, and J. Reinhardt Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images IEEE Transactions on Medical Imaging 20 2001 490 498 (Pubitemid 32657853)
9. A. Jemal, R. Siegel, E. Ward, Y. Hao, J. Xu, and M.J. Thun Cancer statistics, 2009 CA: A Cancer Journal for Clinicians 59 2009 225 249
10. K.W. Jung, Y.J. Won, S. Park, H.J. Kong, J. Sung, H.R. Shin, E.C. Park, and J.S. Lee Cancer statistics in Korea: incidence, mortality and survival in 2005 Journal of Korean Medical Science 24 2009 995 1003
11. J. Koza Genetic Programming: On the Programming of Computers by Means of Natural Selection 1992 The MIT Press
12. Y. Lee, T. Hara, H. Fujita, S. Itoh, and T. Ishigaki Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique IEEE Transactions on Medical Imaging 20 2001 595 604 (Pubitemid 32697978)
13. M. Mahmood, A. Majid, and T.S. Choi Optimal depth estimation by combining focus measures using genetic programming Information Sciences 181 2011 1249 1263
14. A. Majid, A. Khan, and A. Mirza Combination of support vector machines using genetic programming International Journal of Hybrid Intelligent Systems 3 2006 109 125
15. M.F. McNitt-Gray, S.G. Armato, C.R. Meyer, A.P. Reeves, G. McLennan, R.C. Pais, J. Freymann, M.S. Brown, R.M. Engelmann, P.H. Bland, G.E. Laderach, C. Piker, J. Guo, Z. Towfic, D.P.Y. Qing, D.F. Yankelevitz, D.R. Aberle, E.J.R. van Beek, H. MacMahon, E.A. Kazerooni, B.Y. Croft, and L.P. Clarke The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation Academic Radiology 14 2007 1464 1474 (Pubitemid 350116641)
16. T. Messay, R. Hardie, and S. Rogers A new computationally efficient CAD system for pulmonary nodule detection in CT imagery Medical Image Analysis 14 2010 390 406
17. J. Moreno-Torres, X. Llorà, D. Goldberg, R. Bhargava, Repairing fractures between data using genetic programming-based feature extraction: a case study in cancer diagnosis, Information Sciences (2010), http://dx.doi.org/10.1016/j.ins.2010.09.018.
18. E. Ng, U. Acharya, L. Keith, and S. Lockwood Detection and differentiation of breast cancer using neural classifiers with first warning thermal sensors Information Sciences 177 2007 4526 4538 (Pubitemid 47071912)
19. R. Opfer, R. Wiemker, Performance analysis for computer-aided lung nodule detection on LIDC data, in: Proceedings of SPIE Medical Imaging, vol. 6515, 2007, p. 65151C.
20. O. Osman, S. Ozekes, and O.N. Ucan Lung nodule diagnosis using 3D template matching Computers in Biology Medicine 37 2007 1167 1172 (Pubitemid 46992797)
21. D. Paik, C. Beaulieu, G. Rubin, B. Acar, R. Jeffrey, J. Yee, J. Dey, and S. Napel Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT IEEE Transactions on Medical Imaging 23 2004 661 675
22. A. Retico, P. Delogu, M. Fantacci, I. Gori, and A. Preite Martinez Lung nodule detection in low-dose and thin-slice computed tomography Computers in Biology and Medicine 38 2008 525 534
23. G. Rubin, J. Lyo, D. Paik, A. Sherbondy, L. Chow, A. Leung, R. Mindelzun, P. Schraedley-Desmond, S. Zinck, and D. Naidich Pulmonary nodules on multi - detector row CT scans: performance comparison of radiologists and computer-aided detection Radiology 234 2005 274
24. B. Sahiner, L. Hadjiiski, H. Chan, J. Shi, P. Cascade, E. Kazerooni, C. Zhou, J. Wei, A. Chughtai, C. Poopat, et al., Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: observer performance study, in: Proceedings of SPIE Medical Imaging, vol. 6515, 2007, p. 65151D.
25. J.D. Santos, C. Ferreira, R. Torres, M. Gonalves, and R. Lamparelli A relevance feedback method based on genetic programming for classification of remote sensing images Information Sciences 181 2011 2671 2684
26. J. Suárez-Cuenca, P. Tahoces, M. Souto, M. Lado, M. Remy-Jardin, J. Remy, and J. José Vidal Application of the iris filter for automatic detection of pulmonary nodules on computed tomography images Computers in Biology and Medicine 39 2009 921 933
27. K. Suzuki, S.A. Armato III, F. Li, S. Sone, and K. Doi Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography Medical Physics 30 2003 1602 1617 (Pubitemid 36885778)
28. X. Ye, X. Lin, J. Dehmeshki, G. Slabaugh, and G. Beddoe Shape-based computer-aided detection of lung nodules in thoracic CT images IEEE Transactions on Biomedical Engineering 56 2009 1810 1820