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Volumn 2, Issue , 2008, Pages 38-42

Color and position versus texture features for endoscopic polyp detection

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; COLOR; IMAGE ENHANCEMENT; OPTICAL PROPERTIES; TEXTURES;

EID: 51649094088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BMEI.2008.246     Document Type: Conference Paper
Times cited : (104)

References (12)
  • 1
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • A. Bradley. The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 30(7):1145-1159, 1997.
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.1
  • 9
    • 0033101072 scopus 로고    scopus 로고
    • Unsupervised texture segmentation using feature distributions
    • T. Ojala and M. Pietikainen. Unsupervised texture segmentation using feature distributions. Pattern Recognition, 32:477-486, 1999.
    • (1999) Pattern Recognition , vol.32 , pp. 477-486
    • Ojala, T.1    Pietikainen, M.2
  • 10
    • 3042661992 scopus 로고    scopus 로고
    • Feature extraction for the analysis of colon status from the endoscopic images
    • M. P. Tjoa and S. M. Krishnan. Feature extraction for the analysis of colon status from the endoscopic images. BioMedical Engineering OnLine, 2:9, 2003.
    • (2003) BioMedical Engineering OnLine , vol.2 , pp. 9
    • Tjoa, M.P.1    Krishnan, S.M.2
  • 11
    • 34548757758 scopus 로고    scopus 로고
    • U.S. Cancer Statistics Working Group, Atlanta, USA, U.S. Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute
    • U.S. Cancer Statistics Working Group. United states cancer statistics: 2003 incidence and mortality. Atlanta, USA, 2006. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute.
    • (2006) United states cancer statistics: 2003 incidence and mortality
  • 12
    • 9944231918 scopus 로고    scopus 로고
    • A fusion-based clinical decision support for disease diagnosis from endoscopic images
    • March
    • M. Zheng, S. Krishnan, and M. Tjoa. A fusion-based clinical decision support for disease diagnosis from endoscopic images. Computers in Biology and Medicine, 35(3):259-274, March 2005.
    • (2005) Computers in Biology and Medicine , vol.35 , Issue.3 , pp. 259-274
    • Zheng, M.1    Krishnan, S.2    Tjoa, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.