메뉴 건너뛰기




Volumn 2208, Issue , 2001, Pages 666-674

Classification of SPECT images of normal subjects versus images of Alzheimer’s disease patients

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIAGNOSIS; FACE RECOGNITION; MEDICAL COMPUTING; MEDICAL IMAGING;

EID: 84958179965     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45468-3_80     Document Type: Conference Paper
Times cited : (47)

References (19)
  • 1
  • 4
  • 5
    • 0028053208 scopus 로고
    • A method for asseing the significance of abnormalities inH MPAO brainsp ect images
    • Houston A.S., Kemp P.M., and Macleod M.A. A method for asseing the significance of abnormalities inH MPAO brainsp ect images. Journal of Nuclear Medicine, 35:239-244, 1994.
    • (1994) Journal of Nuclear Medicine , vol.35 , pp. 239-244
    • Houston, A.S.1    Kemp, P.M.2    Macleod, M.A.3
  • 8
    • 0026120032 scopus 로고
    • Small sample size effects inst atistical pattern recognition: Recommendations for practitioners
    • March
    • Raudys S.J. and Jain A. K. Small sample size effects inst atistical pattern recognition: Recommendations for practitioners. IEEE Transactions on Pattern Recognition and Machine Intelligence, 13(3):252-264, March 1991.
    • (1991) IEEE Transactions on Pattern Recognition and Machine Intelligence , vol.13 , Issue.3 , pp. 252-264
    • Raudys, S.J.1    Jain, A.K.2
  • 11
    • 0032042805 scopus 로고    scopus 로고
    • Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix
    • Raudys S.J. and Duin R.P.W. Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix. Pattern Recognition Letters, 19:385-392, 1998.
    • (1998) Pattern Recognition Letters , vol.19 , pp. 385-392
    • Raudys, S.J.1    Duin, R.2
  • 12
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition which can solve the small sample size problem
    • Chen L.F., Liao H.Y.M., Ko M.T., Lin J.C., and Yu G.J. A new LDA-based face recognition which can solve the small sample size problem. Pattern Recognition, 33:1713-1726, 2000.
    • (2000) Pattern Recognition , vol.33 , pp. 1713-1726
    • Chen, L.F.1    Liao, H.2    Ko, M.T.3    Lin, J.C.4    Yu, G.J.5
  • 13
    • 0030270491 scopus 로고    scopus 로고
    • On the estimation of a covariance matrix in designing Parzen classifiers
    • Hamamoto Y., Fujimoto Y., and Tomita S. On the estimation of a covariance matrix in designing Parzen classifiers. Pattern Recognition, 29(10):1751-1759, 1996.
    • (1996) Pattern Recognition , vol.29 , Issue.10 , pp. 1751-1759
    • Hamamoto, Y.1    Fujimoto, Y.2    Tomita, S.3
  • 16
    • 0033726817 scopus 로고    scopus 로고
    • 3D Non-Rigid Registration by Gradient Descent on a Gaussian-Windowed Similarity Measure using Convolutions
    • Hilton Head Island, USA, June
    • P. Cachier and X. Pennec. 3D Non-Rigid Registration by Gradient Descent on a Gaussian-Windowed Similarity Measure using Convolutions. In Proc. of MMBIA’ 00, pages 182-189, Hilton Head Island, USA, June 2000.
    • (2000) Proc. Of MMBIA’ 00 , pp. 182-189
    • Cachier, P.1    Pennec, X.2
  • 18
    • 0017452940 scopus 로고
    • A method for attenuation correction in radionuclide computed tomography
    • Chang L.T. A method for attenuation correction in radionuclide computed tomography. IEEE Transactions on Nuclear Science, 25:638643, 1978.
    • (1978) IEEE Transactions on Nuclear Science , vol.25
    • Chang, L.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.