메뉴 건너뛰기




Volumn , Issue , 2014, Pages 460-467

Automatic fetal organs detection and approximation in ultrasound image using boosting classifier and hough transform

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; FEATURE EXTRACTION; HOUGH TRANSFORMS; IMAGE CLASSIFICATION;

EID: 84946689594     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACSIS.2014.7065897     Document Type: Conference Paper
Times cited : (10)

References (22)
  • 2
    • 50549083726 scopus 로고    scopus 로고
    • Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree
    • 1355, Sept.
    • Carneiro, G.; Georgescu, B.; Good, S.; Comaniciu, D., "Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree", Medical Imaging, IEEE Transactions on, vol. 27, no. 9, pp. 1342, 1355, Sept. 2008
    • (2008) Medical Imaging, IEEE Transactions On , vol.27 , Issue.9 , pp. 1342
    • Carneiro, G.1    Georgescu, B.2    Good, S.3    Comaniciu, D.4
  • 9
    • 84455172089 scopus 로고    scopus 로고
    • Improving ultrasound intensity-based visual servoing: Tracking and positioning tasks with 2D and bi-plane probes
    • 2842, 25-30 Sept.
    • Nadeau, Caroline; Krupa, Alexandre, "Improving ultrasound intensity-based visual servoing: Tracking and positioning tasks with 2D and bi-plane probes", Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on, vol., no., pp. 2837, 2842, 25-30 Sept. 2011
    • (2011) Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference On , pp. 2837
    • Nadeau, C.1    Krupa, A.2
  • 10
    • 84872298050 scopus 로고    scopus 로고
    • Internal bleeding detection algorithm based on determination of organ boundary by low-brightness set analysis
    • 4136, 7-12 Oct.
    • Ito, K.; Sugano, S.; Iwata, H., "Internal bleeding detection algorithm based on determination of organ boundary by low-brightness set analysis", Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on, vol., no., pp. 4131, 4136, 7-12 Oct. 2012.
    • (2012) Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference On , pp. 4131
    • Ito, K.1    Sugano, S.2    Iwata, H.3
  • 12
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • Schapire, R. E., & Singer, Y., "Improved boosting algorithms using confidence-rated predictions", Machine Learning, 37, pp. 297-336. 1999.
    • (1999) Machine Learning , vol.37 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2
  • 13
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • 139
    • Freund, Y., & Schapire, R. E., "A decision-theoretic generalization of on-line learning and an application to boosting". Journal of Computer and System Sciences, 55, pp. 119, 139. 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119
    • Freund, Y.1    Schapire, R.E.2
  • 14
    • 21244501361 scopus 로고    scopus 로고
    • A theoretical and experimental analysis of linear combiners for multiple classifier systems
    • June
    • Fumera, G.; Roli, F., "A theoretical and experimental analysis of linear combiners for multiple classifier systems", Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 27, no. 6, pp. 942-956, June 2005
    • (2005) Pattern Analysis and Machine Intelligence, IEEE Transactions On , vol.27 , Issue.6 , pp. 942-956
    • Fumera, G.1    Roli, F.2
  • 17
    • 0032028042 scopus 로고    scopus 로고
    • Randomized hough transform: Improved ellipse detection with comparition
    • R. McLaughlin, "Randomized Hough Transform: Improved Ellipse Detection with Comparition", Pattern Recognition Letters, vol. 19, no. 3-4, pp. 299-305, 1998.
    • (1998) Pattern Recognition Letters , vol.19 , Issue.3-4 , pp. 299-305
    • McLaughlin, R.1
  • 22
    • 84885451366 scopus 로고    scopus 로고
    • Research of improved LVQ neural network by adaboost algorithm
    • Xiang, Liu et al l. "Research of Improved LVQ Neural Network by Adaboost Algorithm" Journal of Applied Science 13 (14) pp. 2658-2663. 2013.
    • (2013) Journal of Applied Science , vol.13 , Issue.14 , pp. 2658-2663
    • Xiang, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.