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Volumn , Issue , 2008, Pages 77-82

Feature selection in proton magnetic resonance spectroscopy for brain tumor classi-cation

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE; ENTROPIC MEASURES; HIGH DIMENSIONALITY; HUMAN TISSUES; MACHINE LEARNING METHODS; NONINVASIVE METHODS; PREDICTION ACCURACY; SPECTRAL FREQUENCY;

EID: 84887171700     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (10)
  • 1
    • 33846027509 scopus 로고    scopus 로고
    • The clinical value of proton magnetic resonance spectroscopy in adult brain tumours
    • N. A. Sibtain, et. al. The clinical value of proton magnetic resonance spectroscopy in adult brain tumours. Clinical Radiology, 62:109-119, 2007.
    • (2007) Clinical Radiology , vol.62 , pp. 109-119
    • Sibtain, N.A.1
  • 2
    • 33745402707 scopus 로고    scopus 로고
    • Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra
    • A. R. Tate et. al. Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra. NMR in Biomedicine, 19:411-434, 2006.
    • (2006) NMR In Biomedicine , vol.19 , pp. 411-434
    • Tate, A.R.1
  • 6
    • 33749077326 scopus 로고    scopus 로고
    • Informative gene discovery for cancer classification from microarray expression data
    • IEEE
    • M. Ng and L. Chan. Informative gene discovery for cancer classification from microarray expression data. In IEEE Workshop on Machine Learning for Signal Processing, pages 393-398. IEEE, 2005.
    • (2005) IEEE Workshop On Machine Learning For Signal Processing , pp. 393-398
    • Ng, M.1    Chan, L.2
  • 7
    • 57749199816 scopus 로고    scopus 로고
    • Robust object detection using fast feature selection from hugh feature sets
    • IEEE
    • D. Le and S. Satoh. Robust object detection using fast feature selection from hugh feature sets. In 13th International Conference on Image Processing, pages 961-964. IEEE, 2006.
    • (2006) 13th International Conference On Image Processing , pp. 961-964
    • Le, D.1    Satoh, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.