Functional brain image classification using association rules defined over discriminant regions

Pattern Recognition Letters

Volumn 33, Issue 12, 2012, Pages 1666-1672

  Chaves, R ^a   Ramirez J ^a   Gorriz J M ^a   Illan I A ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Alzheimer's Disease; Association rules; Fisher Discriminant Ratio; Functional brain imaging

Indexed keywords

ALZHEIMER'S DISEASE; BRAIN AREAS; CAD SYSTEM; COMPUTATIONAL COSTS; EARLY DIAGNOSIS; FISHER DISCRIMINANT; FUNCTIONAL BRAIN IMAGING; GENERALIZATION ABILITY; IMAGE MODALITY; MINIMUM SUPPORT; REGIONS OF INTEREST;

ASSOCIATION RULES; COMPUTER AIDED DIAGNOSIS; FUNCTIONAL NEUROIMAGING; IMAGE CLASSIFICATION; POSITRON EMISSION TOMOGRAPHY;

SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY;

EID: 84863311227     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2012.04.011     Document Type: Article

References (23)

1. Agrawal, R.; Srikant, R.; 1994. Fast Algorithms for mining Association rules. In: Int. Conf. VLDB, Santiago de Chile, Chile, pp. 487-499.
2. I. Álvarez, J.M. Górriz, J. Ramírez, D. Salas-Gonzalez, M. López, C.G. Puntonet, and F. Segovia Alzheimer's diagnosis using eigenbrains and support vector machines Electron. Lett. 45 7 2009 342 343
3. I. Álvarez, J.M. Górriz, J. Ramírez, D. Salas-Gonzalez, M. López, F. Segovia, R. Chaves, M. Gómez-Rio, and C.G. Puntonet 18 F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis Inform. Sci. 181 4 2010 903 916
4. I. Álvarez, J. M.Górriz, M.M. López, J. Ramírez, D. Salas-Gonzalez, F. Segovia, R. Chaves, and C.G. Puntonet Computer aided diagnosis of Alzheimer's Disease using component based SVM Appl. Soft Comput. 11 2 2011 2376 2382
5. J. Ashburner, and K.J. Friston Nonlinear spatial normalization using basis functions Hum. Brain Mapp. 7 4 1999 254 266
6. H. Braak, and E. Braak Diagnostic criteria for neuropathologic assessment of Alzheimer's Disease Neurobiology Aging 18 4 1997 S85 S88
7. R. Chaves, J. Ramírez, J.M. Górriz, M. López, D. Salas-Gonzalez, I. Álvarez, and F. Segovia SVM-based computer-aided diagnosis of the Alzheimer's Disease using t-test NMSE feature selection with feature correlation weighting Neuroscience Lett. 461 3 2009 293 297
8. R. Chaves, J.M. Górriz, J. Ramírez, I.A. Illán, D. Salas-González, and M. Gómez-Río Efficient mining of association rules for the early diagnosis of Alzheimer's Disease Phys. Med. Biol. 56 18 2011 6047 6063
9. E. Dasseni, V.S. Verykios, A.K. Elmagarmid, and E. Bertino Hiding association rules by using confidence and support Lect. Notes Comput. Sci. 2137 2001 369 383
10. K.J. Friston, J. Ashburner, S.J. Kiebel, T.E. Nichols, and W.D. Penny Statistical Parametric Mapping: The Analysis of Functional Brain Images 2007 Academic Press
11. G. Fung, and J. Stoeckel SVM feature selection for classification of SPECT images of Alzheimer's Disease using spatial information Knowl. Inform. Syst. 11 2 2007 243 258
12. L. Gidskehaug, E. Anderssen, and B.K. Alsberg Cross model validation and optimisation of bilinear regression models Chemometr. Intell. Lab. Syst. 93 2008 1 10
13. M. Karabatak, and M. Cevdet Ince A new feature selection method based on association rules for diagnosis of erythemato-squamous diseases Expert Syst. Appl. 36 10 2009 12500 12505
14. M. López, J. Ramírez, J.M. Górriz, D. Salas-Gonzalez, I. Álvarez, F. Segovia, and C.G. Puntonet Automatic tool for the Alzheimer's Disease diagnosis using PCA and bayesian classification rules IET Electron. Lett. 45 8 2009 389 391
15. M. López, J. Ramírez, J.M. Górriz, I. Álvarez, D. Salas-Gonzalez, F. Segovia, R. Chaves, P. Padilla, M. Gómez-Río for the Alzheimer's Disease Neuroimaging Initiative Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's Disease Neurocomputing 74 8 2011 1260 1271
16. P.J. Nestor, P. Scheltens, and J.R. Hodges Advances in the early detection of Alzheimer's Disease Nat. Rev. Neurosci. 4 2004 S34 S35
17. J. Ramírez, J.M. Górriz, R. Chaves, D. Salas-Gonzalez, M. López, D. Salas-Gonzalez, I. Álvarez, and F. Segovia SPECT image classification using random forests IET Electron. Lett. 45 12 2009 604 605
18. Ramírez, J.; Górriz, J.M.; Salas-Gonzalez, D.; Romero, A.; López, M.; Illán, I.A.; Gómez-Río, M.; in press. Computer-aided diagnosis of Alzheimer's type dementia combining support vector machines and discriminant set of features. Inform. Sci.; http://dx.doi.org/10. 1016/j.ins.2009.05.012.
19. M.X. Ribeiro, P.H. Bugatti, C. Traina Jr.; P. Marques, N.A. Rosa, and A. Traina Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques Data Knowl. Eng. 68 12 2009 1370 1382
20. D. Salas-Gonzalez, J.M. Górriz, J. Ramírez, A. Lassl, and C.G. Puntonet Improved gauss-newton optimization methods in affine registration of SPECT brain images IET Electron. Lett. 44 22 2008 1291 1292
21. Tan, P.; Kumar, V.; Srivastava, J.; 2002. Selecting the right interestingness measure for association patterns. 8th ACM SIGKDD Conf. Knowl. Discovery Data Mining pp. 32-41.
22. P. Turkeltaub, G. Eden, K. Jones, and T. Zeffiro Meta-analysis of the functional neuroanatomy of single-word reading: method and validation Neuroimage 16 3 2002 765 780
23. A.R. Webb Statistical Pattern Recognition Second ed. 2003 Wiley