메뉴 건너뛰기




Volumn , Issue , 2010, Pages 6074-6077

Diagnosis of brain tumours from magnetic resonance spectroscopy using wavelets and Neural Networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BRAIN TUMOURS; CLASSIFICATION ACCURACY; COMPUTER-BASED SYSTEM; DATA PREPROCESSING; HUMAN BRAIN; ROBUST CLASSIFICATION; SIGNAL MEASUREMENT;

EID: 78650831964     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627627     Document Type: Conference Paper
Times cited : (9)

References (10)
  • 1
    • 0036699991 scopus 로고    scopus 로고
    • The contribution of proton magnetic resonance spectroscopy (1H MRS) to clinical brain tumour diagnosis
    • M. Murphy, A. Loosemore et al. "The contribution of proton magnetic resonance spectroscopy (1H MRS) to clinical brain tumour diagnosis", Br J Neurosurg, vol. 16, pp. 329-334, 2002.
    • (2002) Br J Neurosurg , vol.16 , pp. 329-334
    • Murphy, M.1    Loosemore, A.2
  • 2
    • 33644534475 scopus 로고    scopus 로고
    • A multi-centre, web-accessible and quality control checked database of in vivo MR spectra of brain tumour patients
    • M. Julià-Sapé, D. Acosta, M. Mier, C. Arús, D. Watson, and the INTERPRET Consortium, "A multi-centre, web-accessible and quality control checked database of in vivo MR spectra of brain tumour patients," Magnetic Resonance Materials in Physics. MAGMA, vol. 19, pp. 22-33, 2006.
    • (2006) Magnetic Resonance Materials in Physics. MAGMA , vol.19 , pp. 22-33
    • Julià-Sapé, M.1    Acosta, D.2    Mier, M.3    Arús, C.4    Watson, D.5
  • 4
    • 14844325762 scopus 로고    scopus 로고
    • Threshold selection for wavelet denoising of partial discharge data
    • September, USA
    • P.D. Agoris et al. "Threshold selection for wavelet denoising of partial discharge data," International Symposium on Electrical Insulation, September 2004, USA.
    • (2004) International Symposium on Electrical Insulation
    • Agoris, P.D.1
  • 6
    • 0029307534 scopus 로고
    • De-noising by soft-thresholding
    • D. Donoho, "De-noising by soft-thresholding," IEEE Trans. on Information theory, vol.41, Issue. 3, pp. 613-627, 1995.
    • (1995) IEEE Trans. on Information Theory , vol.41 , Issue.3 , pp. 613-627
    • Donoho, D.1
  • 7
    • 4444339123 scopus 로고    scopus 로고
    • A study of wavelet thresholding denoising
    • D. Guo-Fei et al. "A study of wavelet thresholding denoising," IEEE Proceedings of ICSP, vol.1, pp. 329-332, 2000.
    • (2000) IEEE Proceedings of ICSP , vol.1 , pp. 329-332
    • Guo-Fei, D.1
  • 8
    • 69649098782 scopus 로고    scopus 로고
    • Determinación de los parámetros asociados al filtro wavelet por umbralización aplicado a filtrado de interferencias electrocardiográficas
    • O. Olarte, D. Sierra. "Determinación de los parámetros asociados al filtro wavelet por umbralización aplicado a filtrado de interferencias electrocardiográficas," Universidad Industrial de Santander UIS Ingenierías, vol. 6,Issue 2, pp 33-44, 2007.
    • (2007) Universidad Industrial de Santander UIS Ingenierías , vol.6 , Issue.2 , pp. 33-44
    • Olarte, O.1    Sierra, D.2
  • 9
    • 67349259656 scopus 로고    scopus 로고
    • Condition assessment of power OLTC by vibration analysis using wavelet transform
    • E. Rivas, J. Burgos, J. García, "Condition assessment of power OLTC by vibration analysis using wavelet transform ". IEEE Transactions On Power Delivery, vol. 24, pp. 687-694, 2009.
    • (2009) IEEE Transactions on Power Delivery , vol.24 , pp. 687-694
    • Rivas, E.1    Burgos, J.2    García, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.