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Volumn 45, Issue 12, 2009, Pages 604-605

SPECT image classification using random forests

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMERS DISEASE; CLASSIFICATION ACCURACY; COMPUTER AIDED DIAGNOSIS SYSTEMS; EARLY DIAGNOSIS; FEATURE CORRELATION; FEATURE SELECTION; MEAN SQUARE; RANDOM FORESTS;

EID: 67149116624     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2009.1111     Document Type: Article
Times cited : (35)

References (7)
  • 2
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • Breiman, L.: Random forests , Mach. Learn., 2001, 45, (1), p. 5-32 0885-6125 (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 3
    • 54849410492 scopus 로고    scopus 로고
    • Improved Gauss-Newton optimisation methods in affine registration of SPECT brain images
    • 10.1049/el:20081838 0013-5194
    • Salas-González, D., Górriz, J.M., Ramírez, J., Lassl, A., and Puntonet, C.G.: Improved Gauss-Newton optimisation methods in affine registration of SPECT brain images , Electron. Lett., 2008, 44, (22), p. 1291-1292 10.1049/el:20081838 0013-5194
    • (2008) Electron. Lett. , vol.44 , Issue.22 , pp. 1291-1292
    • Salas-González, D.1    Górriz, J.M.2    Ramírez, J.3    Lassl, A.4    Puntonet, C.G.5
  • 7
    • 33947376436 scopus 로고    scopus 로고
    • SVM feature selection for classification of SPECT images of Alzheimers disease using spatial information
    • 0219-1377
    • Fung, G., and Stoeckel, J.: SVM feature selection for classification of SPECT images of Alzheimers disease using spatial information , Knowl. Inf. Syst., 2007, 11, (2), p. 243-258 0219-1377
    • (2007) Knowl. Inf. Syst. , vol.11 , Issue.2 , pp. 243-258
    • Fung, G.1    Stoeckel, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.