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Volumn 8198 LNCS, Issue , 2013, Pages 53-62

A classification-enhanced vote accumulation scheme for detecting colonic polyps

Author keywords

boundary classification; Optical colonoscopy; polyp detection; random forest; voting scheme

Indexed keywords

BOUNDARY CLASSIFICATION; OPTICAL COLONOSCOPY; POLYP DETECTION; RANDOM FORESTS; VOTING SCHEMES;

EID: 84886578037     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-41083-3_7     Document Type: Conference Paper
Times cited : (36)

References (16)
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  • 4
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    • Miss rate for colorectal neoplastic polyps: A prospective multicenter study of back-to-back video colonoscopies
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    • Heresbach, D.1    Barrioz, T.2    Lapalus, M.G.3    Coumaros, D.4
  • 6
    • 33846215147 scopus 로고    scopus 로고
    • Rates of new or missed colorectal cancers after colonoscopy and their risk factors: A population-based analysis
    • Bressler, B., Paszat, L.F., Chen, Z., Rothwell, D.M., Vinden, C., Rabeneck, L.: Rates of new or missed colorectal cancers after colonoscopy and their risk factors: A population-based analysis. Gastroenterology 132(1), 96-102 (2007), http://www.sciencedirect.com/science/article/pii/S001650850602261X
    • (2007) Gastroenterology , vol.132 , Issue.1 , pp. 96-102
    • Bressler, B.1    Paszat, L.F.2    Chen, Z.3    Rothwell, D.M.4    Vinden, C.5    Rabeneck, L.6
  • 11
    • 33746682430 scopus 로고    scopus 로고
    • An intelligent system for automatic detection of gastrointestinal adenomas in video endoscopy
    • Iakovidis, D.K., Maroulis, D.E., Karkanis, S.A.: An intelligent system for automatic detection of gastrointestinal adenomas in video endoscopy. Computers in Biology and Medicine 36(10), 1084-1103 (2006)
    • (2006) Computers in Biology and Medicine , vol.36 , Issue.10 , pp. 1084-1103
    • Iakovidis, D.K.1    Maroulis, D.E.2    Karkanis, S.A.3
  • 13
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    • Towards automatic polyp detection with a polyp appearance model
    • Bernal, J., Sánchez, J., Vilariño, F.: Towards automatic polyp detection with a polyp appearance model. Pattern Recognition 45(9), 3166-3182 (2012)
    • (2012) Pattern Recognition , vol.45 , Issue.9 , pp. 3166-3182
    • Bernal, J.1    Sánchez, J.2    Vilariño, F.3
  • 14
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    • Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning
    • Morgan & Claypool Publishers
    • Mordohai, P., Medioni, G.: Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning. Synthesis Lectures on Image, Video, and Multimedia Processing. Morgan & Claypool Publishers (2007), http://books.google.com/books?id=uvwxw5sJKywC
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    • Mordohai, P.1    Medioni, G.2
  • 15
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    • Random forests
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    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.