메뉴 건너뛰기




Volumn 2006, Issue , 2006, Pages 837-844

Computer aided detection via asymmetric cascade of sparse hyperplane classifiers

Author keywords

Cascading classification; Computer aided detection; Mathematical programming; Sparse solutions; Support vector machines

Indexed keywords

ALGORITHMS; CLASSIFIERS; COMPUTATIONAL METHODS; MEDICAL IMAGING; OPTIMIZATION; PROBLEM SOLVING; REAL TIME SYSTEMS;

EID: 33749578839     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1150402.1150518     Document Type: Conference Paper
Times cited : (23)

References (27)
  • 1
    • 0034845242 scopus 로고    scopus 로고
    • Automated detection of lung nodules in CT scans: Preliminary results
    • S. G. Armato-III, M. L. Giger, and H. MacMahon. Automated detection of lung nodules in CT scans: preliminary results. Medical Physics, 28(8):1552-1561, 2001.
    • (2001) Medical Physics , vol.28 , Issue.8 , pp. 1552-1561
    • Armato III, S.G.1    Giger, M.L.2    MacMahon, H.3
  • 2
    • 0038038910 scopus 로고    scopus 로고
    • Automated lung nodule classification following automated nodule detection on CT: A serial approach
    • S.G. Armato-III, M.B. Altman, J. Wilkie, S. Sone, F. Li, K. Doi and A.S. Roy. Automated lung nodule classification following automated nodule detection on CT: a serial approach. Medical Physics, 30(6):1188-1197, 2003.
    • (2003) Medical Physics , vol.30 , Issue.6 , pp. 1188-1197
    • Armato III, S.G.1    Altman, M.B.2    Wilkie, J.3    Sone, S.4    Li, F.5    Doi, K.6    Roy, A.S.7
  • 4
    • 0002935122 scopus 로고    scopus 로고
    • Combining support vector and mathematical programming methods for classification
    • B. Schölkopf, C. Burges, and A. Smola, editors, MIT Press, Cambridge, MA
    • K. P. Bennett. Combining support vector and mathematical programming methods for classification. In B. Schölkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods - Support Vector Machines, pages 307-326. MIT Press, Cambridge, MA, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Machines , pp. 307-326
    • Bennett, K.P.1
  • 11
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • J. Friedman, T. Hastie and R. Tibshirani. Additive logistic regression: A statistical view of boosting. The Annals of Statistics, 38(2):337-374, 2000.
    • (2000) The Annals of Statistics , vol.38 , Issue.2 , pp. 337-374
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 13
    • 0030126415 scopus 로고    scopus 로고
    • Reduction of false positives in lung nodule detection using a two-level neural classification
    • J.S. Lin, S.C. 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 Trans. Med. Imag., 15(2):216-227, 1996.
    • (1996) IEEE Trans. Med. Imag. , vol.15 , Issue.2 , pp. 216-227
    • Lin, J.S.1    Lo, S.C.2    Hasegawa, A.3    Freedman, M.T.4    Mun, S.K.5
  • 14
    • 0025952277 scopus 로고
    • Divergence measures based on the Shannon entropy
    • J. Lin. Divergence measures based on the Shannon entropy. IEEE Trans. Info. Theory, 37(1):145-151, 1991.
    • (1991) IEEE Trans. Info. Theory , vol.37 , Issue.1 , pp. 145-151
    • Lin, J.1
  • 16
  • 18
    • 19044373465 scopus 로고    scopus 로고
    • Robust anisotropic Gaussian fitting for volumetric characterization of pulmonary nodules in multislice CT
    • K. Okada, D. Comaniciu and A. Krishnan. Robust anisotropic Gaussian fitting for volumetric characterization of pulmonary nodules in multislice CT. IEEE Trans. Med. Imag, 24(3):409-423, 2005.
    • (2005) IEEE Trans. Med. Imag , vol.24 , Issue.3 , pp. 409-423
    • Okada, K.1    Comaniciu, D.2    Krishnan, A.3
  • 19
    • 0032808791 scopus 로고    scopus 로고
    • The promise of CAD in digital mamography
    • J. Roehrig. The promise of CAD in digital mamography. European Journal of Radiology, 31:35-39, 1999.
    • (1999) European Journal of Radiology , vol.31 , pp. 35-39
    • Roehrig, J.1
  • 20
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • R.E. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37(3):297-336, 1999.
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2
  • 22
    • 26844461132 scopus 로고    scopus 로고
    • Cascade AdaBoost classifiers with stage features optimization for cellular phone embedded face detection
    • X. Tang, Z. Ou, T. Su and P. Zhao. Cascade AdaBoost classifiers with stage features optimization for cellular phone embedded face detection. In Lecture Notes in Computer Science (Advances in Natural Computation), volume 3612, pages 688-695, 2005.
    • (2005) Lecture Notes in Computer Science (Advances in Natural Computation) , vol.3612 , pp. 688-695
    • Tang, X.1    Ou, Z.2    Su, T.3    Zhao, P.4
  • 23
    • 84937807991 scopus 로고    scopus 로고
    • A hybrid face detector based on an asymmetrical adaboost cascade detector and a wavelet-bayesian-detector
    • R. Verschae and J. R. del Solar. A hybrid face detector based on an asymmetrical adaboost cascade detector and a wavelet-bayesian-detector. In Lecture Notes in Computer Science IWANN (1), volume 2686, pages 742-749, 2003.
    • (2003) Lecture Notes in Computer Science IWANN (1) , vol.2686 , pp. 742-749
    • Verschae, R.1    Del Solar, J.R.2
  • 25
    • 84898979550 scopus 로고    scopus 로고
    • Fast and robust classification using asymmetric AdaBoost and a detector cascade
    • Cambridge, MA, MIT Press
    • P.A. Viola and M.J. Jones. Fast and robust classification using asymmetric AdaBoost and a detector cascade. In Advances in Neural Information Processing Systems, volume 14, Cambridge, MA, 2002. MIT Press.
    • (2002) Advances in Neural Information Processing Systems , vol.14
    • Viola, P.A.1    Jones, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.