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Volumn 1, Issue , 2005, Pages 251-256

Detection of Ground Glass Opacities in lung CT images using gabor filters and neural networks

Author keywords

Artificial Neural Networks; CAD; Chest CT images; Gabor filters; Template matching

Indexed keywords

CHEST CT IMAGES; GABOR FILTERS; GROUND GLASS OPACITY (GGO); TEMPLATE MATCHING;

EID: 33845570712     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (5)
  • 2
    • 0035384869 scopus 로고    scopus 로고
    • Automated Detection of Pulmonary Nodules in Helical CT images Based on an Improved Template-Matching Technique
    • July
    • Y. Lee, T. Hara, and H. Fujita, S. Itoh, and T. Ishigaki "Automated Detection of Pulmonary Nodules in Helical CT images Based on an Improved Template-Matching Technique", IEEE Transactions on Medical Imaging, Vol. 20, No. 7, pp. 595-604, July 2001.
    • (2001) IEEE Transactions on Medical Imaging , vol.20 , Issue.7 , pp. 595-604
    • Lee, Y.1    Hara, T.2    Fujita, H.3    Itoh, S.4    Ishigaki, T.5
  • 3
    • 0029343445 scopus 로고
    • Optimal Gabor Filters for Texture Segmentation
    • July
    • Dennis Dunn, and William E. Higgins, "Optimal Gabor Filters for Texture Segmentation", IEEE Transactions on Image Processing, Vol. 4, No. 7, pp. 947-964, July 1995.
    • (1995) IEEE Transactions on Image Processing , vol.4 , Issue.7 , pp. 947-964
    • Dunn, D.1    Higgins, W.E.2
  • 5
    • 0030126415 scopus 로고    scopus 로고
    • Reduction of False Positives in Lung Nodule Detection Using a Two-Level Neural Classification
    • April
    • Jyh-Shyan Lin, Shin-Chung B. Lo, A. Hasegawa, M. T. Freedman, and S. K. Mun, "Reduction of False Positives in Lung Nodule Detection Using a Two-Level Neural Classification", IEEE Transactions on Medical Imaging, Vol. 15, No. 2, pp. 206-217, April 1996.
    • (1996) IEEE Transactions on Medical Imaging , vol.15 , Issue.2 , pp. 206-217
    • Lin, J.1    Lo, S.B.2    Hasegawa, A.3    Freedman, M.T.4    Mun, S.K.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.