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Volumn 17, Issue , 2014, Pages 99-108

Epidural masses detection on computed tomography using spatially-constrained gaussian mixture models

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EID: 84927643367     PISSN: 22129391     EISSN: 22129413     Source Type: Book Series    
DOI: 10.1007/978-3-319-07269-2_9     Document Type: Article
Times cited : (2)

References (10)
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    • Schiff, D.1    O’Neill, B.P.2
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    • Optimizing the support vector machines (SVM) committee configuration in a colonic polyp CAD system
    • Yao, J., Summers, R.M., et al.: Optimizing the support vector machines (SVM) committee configuration in a colonic polyp CAD system. Proc. SPIE 5746, 384-392 (2005)
    • (2005) Proc. SPIE 5746 , pp. 384-392
    • Yao, J.1    Summers, R.M.2
  • 9
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    • HMRF-EM-image: Implementation of the Hidden Markov random field model and its expectation-maximization algorithm
    • Wang, Q.: HMRF-EM-image: implementation of the Hidden Markov random field model and its expectation-maximization algorithm. CoRR e-prints (1207.3510)
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    • Wang, Q.1
  • 10
    • 0346702173 scopus 로고
    • CT of the lumbar spine: Normal variants and pitfalls
    • Dorwart, R.H., DeGroot, J., Sauerland, E.T., et al.: CT of the lumbar spine: normal variants and pitfalls. Radiographics 2(4), 459-499 (1982)
    • (1982) Radiographics , vol.2 , Issue.4 , pp. 459-499
    • Dorwart, R.H.1    Degroot, J.2    Sauerland, E.T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.