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Volumn , Issue , 2010, Pages 2020-2023

Machine learning for noise removal on breast ultrasound images

Author keywords

breast imaging; machine learning; signal processing; ultrasound

Indexed keywords

ATTENUATION PROPERTIES; BREAST IMAGES; BREAST IMAGING; BREAST ULTRASOUND; IMAGE REGIONS; IN-VIVO; MACHINE-LEARNING; NOISE REMOVAL; VARIABLE SPEED;

EID: 80054728790     PISSN: 10510117     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ULTSYM.2010.5935996     Document Type: Conference Paper
Times cited : (7)

References (11)
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    • RSNA
    • Carson P.L., G.L. LeCarpentier, M.A. Roubidoux, R.Q. Erkamp, J.B. Fowlkes, M.M. Goodsitt. Physics and Technology of Ultrasound Breast Imaging Including Automated 3D, in, A Karellas and ML Giger, eds, 2004 Syllabus, Advances in Breast Imaging: Physics, Technology, and Clinical Applications, RSNA Categorical Course in Diagnostic Radiology Physics, RSNA, 223-232, 2004.
    • (2004) RSNA Categorical Course in Diagnostic Radiology Physics , pp. 223-232
    • Carson, P.L.1    Lecarpentier, G.L.2    Roubidoux, M.A.3    Erkamp, R.Q.4    Fowlkes, J.B.5    Goodsitt, M.M.6
  • 2
    • 80054754598 scopus 로고    scopus 로고
    • University of Dortmund, November
    • Joachims T., SVMLight: Support Vector Machine, http://wwwai.informatik. unidortmund.de/FORSCHUNG/VERFAHREN/SVM-LIGHT/svm-light.eng.html, University of Dortmund, November 1999.
    • (1999)
    • Joachims, T.1
  • 3
    • 0037290179 scopus 로고    scopus 로고
    • Segmentation of ultrasonic images using support vector machines
    • Kotropoulos C., and I. Pitas, "Segmentation of ultrasonic images using Support Vector Machines", Pattern Recognition Letters, 24: 715-727, 2003
    • (2003) Pattern Recognition Letters , vol.24 , pp. 715-727
    • Kotropoulos, C.1    Pitas, I.2
  • 5
    • 3042798451 scopus 로고    scopus 로고
    • Development of the cubic least squares mapping linear-kernel support vector machine classifier for improving the characterization of breast lesions on ultrasound
    • Piliourasa N., I. Kalatzisa, N. Dimitropoulosb and D. Cavouras, "Development of the cubic least squares mapping linear-kernel support vector machine classifier for improving the characterization of breast lesions on ultrasound", Computerized Medical Imaging and Graphics, 28: 247-255, 2004.
    • (2004) Computerized Medical Imaging and Graphics , vol.28 , pp. 247-255
    • Piliourasa, N.1    Kalatzisa, I.2    Dimitropoulosb, N.3    Cavouras, D.4
  • 9
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    • Solid breast nodules: Use of sonography to distinguish between benign and malignant lesions
    • Stavros A.T., D. Thickman, C.L. Rapp, M.A. Dennis, S.H. Parker, G.A. Sisney, "Solid Breast Nodules: use of sonography to distinguish between benign and malignant lesions", Radiology, 196: 123-124, 1995.
    • (1995) Radiology , vol.196 , pp. 123-124
    • Stavros, A.T.1    Thickman, D.2    Rapp, C.L.3    Dennis, M.A.4    Parker, S.H.5    Sisney, G.A.6
  • 11
    • 0025488663 scopus 로고
    • 30 years of adaptive neural networks: Perceptron madaline, and backpropagation
    • Widrow, B and Lehr, M, 30 Years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation, Proceedings of IEEE, 78: 1415-44, 1990
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    • Widrow, B.1    Lehr, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.