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Volumn 5108 LNAI, Issue , 2008, Pages 62-72

Colorectal polyps detection using texture features and support vector machine

Author keywords

[No Author keywords available]

Indexed keywords

BIOTECHNOLOGY; CANNING; CHEMISTRY; CLASSIFICATION (OF INFORMATION); FOOD PRESERVATION; HEALTH; IMAGE ANALYSIS; IMAGE RETRIEVAL; LEARNING SYSTEMS; SENSITIVITY ANALYSIS; STATISTICAL METHODS; SUPPORT VECTOR MACHINES; TECHNOLOGY; TEXTURES; VECTORS;

EID: 48949099749     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-70715-8_6     Document Type: Conference Paper
Times cited : (25)

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    • Polyp detection with ct colonography: Primary 3d endoluminal analysis versus primary 2d transverse analysis with computer-assisted reader software
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    • (2006) Radiology , vol.239 , Issue.3 , pp. 759-767
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    • Chowdhury, T.A.1    Whelan, P.F.2    Ghita, O.3
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    • Pit pattern diagnosis of early colorectal carcinoma by magnifying colonoscopy: Clinical and histological implications
    • Nagata, S., Tanaka, S., Haruma, K., Yoshihara, M., Sumii, K., Kajiyama, G., Shimamoto, F.: Pit pattern diagnosis of early colorectal carcinoma by magnifying colonoscopy: Clinical and histological implications. Int. J. Oncol. 16, 927-934 (2000)
    • (2000) Int. J. Oncol , vol.16 , pp. 927-934
    • Nagata, S.1    Tanaka, S.2    Haruma, K.3    Yoshihara, M.4    Sumii, K.5    Kajiyama, G.6    Shimamoto, F.7
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    • 3042661992 scopus 로고    scopus 로고
    • Feature extraction for the analysis of colon status from the endoscopic images
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    • Performance evaluation for four classes of textural features
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    • Ohanian, P.P.1    Dubes, R.C.2
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    • Matlab, the mathworks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.