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Volumn , Issue , 2014, Pages 420-426

Automatic fetal organs segmentation using multilayer super pixel and image moment feature

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; DECISION TREES; LEARNING SYSTEMS; MULTILAYERS; PIXELS;

EID: 84946686137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACSIS.2014.7065883     Document Type: Conference Paper
Times cited : (7)

References (12)
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  • 3
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    • Automated measurements in obstetricultrasound images
    • Santa Barbara: IEEE
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  • 4
    • 77950983499 scopus 로고    scopus 로고
    • Improved segmentation of ultrasound images for fetal biometry, using morphological operators
    • Minneapolis: IEEE
    • Shrimali, V., Anand, R. S., & Kumar, V. (2009). Improved segmentation of ultrasound images for fetal biometry, using morphological operators. Engineering in Medicine and Biology Society (pp. 459-462). Minneapolis: IEEE.
    • (2009) Engineering in Medicine and Biology Society , pp. 459-462
    • Shrimali, V.1    Anand, R.S.2    Kumar, V.3
  • 5
    • 84927702948 scopus 로고    scopus 로고
    • Automatic femur segmentation and length measurement from fetal ultrasound image
    • IEEE
    • Ching-Wei, W, Hsiang-Chou, C, Chun-Wei, P., & Hung, C.-M. (2012). Automatic femur segmentation and length measurement from fetal ultrasound image. ISBI (pp. 21-23). IEEE.
    • (2012) ISBI , pp. 21-23
    • Ching-Wei, W.1    Hsiang-Chou, C.2    Chun-Wei, P.3    Hung, C.-M.4
  • 8
    • 84856735789 scopus 로고    scopus 로고
    • Supervoxel-based segmentation of mitochondria in EM image stacks with learned shape features
    • Lucchi, A., Smith, K., Achanta, R., Knott, G., & Fua, P. (2012). Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features. IEEE Transactions on Medical Imaging, 31(2), 476-486.
    • (2012) IEEE Transactions on Medical Imaging , vol.31 , Issue.2 , pp. 476-486
    • Lucchi, A.1    Smith, K.2    Achanta, R.3    Knott, G.4    Fua, P.5
  • 9
    • 84881649703 scopus 로고    scopus 로고
    • Fetal cranial segmentation in 2D ultrasound images using shape properties of pixel clusters
    • San Francisco: IEEE
    • Namburete, A. I., & Noble, J. A. (2013). Fetal Cranial Segmentation in 2D Ultrasound Images Using Shape Properties of Pixel Clusters. IEEE 10th International Symposium on Biomedical Imaging (pp. 720-723). San Francisco: IEEE.
    • (2013) IEEE 10th International Symposium on Biomedical Imaging , pp. 720-723
    • Namburete, A.I.1    Noble, J.A.2
  • 10
    • 84864576323 scopus 로고    scopus 로고
    • Segmentation of 2D fetal ultrasound images by exploiting c ontext information using conditional random fields
    • Boston: IEEE
    • Gupta, L., Sisodia, R. S., Pallavi, V., & Firtion, C. (2011). Segmentation of 2D fetal ultrasound images by exploiting c ontext information using conditional random fields Engineering in Medicine and Biology Society (pp. 7219-7222). Boston: IEEE.
    • (2011) Engineering in Medicine and Biology Society , pp. 7219-7222
    • Gupta, L.1    Sisodia, R.S.2    Pallavi, V.3    Firtion, C.4
  • 11
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    • A new curvedetection method: Randomized hough transform
    • Xu, L., Oja, E., & Kultanen, P. (1990). A New CurveDetection Method: Randomized Hough Transform. Pattern Recognition Letters, 11(5), 331-338.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.