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Volumn 2005, Issue , 2005, Pages 216-219

Automatic segmentation and classification of diffused liver diseases using wavelet based texture analysis and neural network

Author keywords

Liver CT images; Probabilistic neural network; Texture analysis; Wavelets

Indexed keywords

LIVER CT IMAGES; PROBABILISTIC NEURAL NETWORK; TEXTURE ANALYSIS;

EID: 33847137802     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INDCON.2005.1590158     Document Type: Conference Paper
Times cited : (30)

References (7)
  • 1
    • 0035363102 scopus 로고    scopus 로고
    • J. S. Hong, T. Kaneko, R. Sekiguchi and K. Houmpark, Automatic liver tumor detection from CT image, IEICE Trans. Inf. & System, E84, No 6. June 2001.
    • J. S. Hong, T. Kaneko, R. Sekiguchi and K. Houmpark, "Automatic liver tumor detection from CT image", IEICE Trans. Inf. & System, vol E84, No 6. June 2001.
  • 6
    • 0030215027 scopus 로고    scopus 로고
    • Classification Algorithms for Quantitative Tissue Characterization of diffuse liver diseases from ultrasound images
    • Y. M. Kadah, A. A. Farag, J. M. Zaruda, A. B. M.Youssef, "Classification Algorithms for Quantitative Tissue Characterization of diffuse liver diseases from ultrasound images", IEEE Transactions on Medical imaging, vol. 15, No. 4, 1996
    • (1996) IEEE Transactions on Medical imaging , vol.15 , Issue.4
    • Kadah, Y.M.1    Farag, A.A.2    Zaruda, J.M.3    Youssef, A.B.M.4
  • 7
    • 33847141316 scopus 로고    scopus 로고
    • http://www.ctisus.com


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.