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Lesion Segmentation in Breast Sonography

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Digital Mammography (IWDM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6136))

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Abstract

Sonography is gaining popularity as an adjunct screening technique for assessing abnormalities in the breast. This is particularly true in cases where the subject has dense breast tissue, wherein widespread techniques like Digital Mammography (DM) fail to produce reliable outcomes. This article proposes a novel and fully automatic methodology for breast lesion segmentation in B-mode Ultra-Sound (US) images by utilizing region, boundary and shape information to cope up with the inherent artifacts present in US images. The proposed approach has been evaluated using a set of sonographic images with accompanying expert-provided ground truth.

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References

  1. Horsch, K., Giger, M.L., Venta, L.A., Vyborny, C.J.: Automatic segmentation of breast lesions on ultrasound. Medical Physics 28, 1652–1659 (2001)

    Article  Google Scholar 

  2. Madabhushi, A., Metaxas, D.: Automatic boundary extraction of ultrasonic breast lesions. In: Proceedings of 2000 IEEE International Symposium on Biomedical Imaging, pp. 601–604 (2002)

    Google Scholar 

  3. Moore, S.K.: Better breast cancer detection. IEEE Spectrum 38(5), 50–54 (2001)

    Article  Google Scholar 

  4. Noble, J.A., Boukerroui, D.: Ultrasound image segmentation: A survey. IEEE Transactions on medical imaging 25(8), 987–1010 (2006)

    Article  Google Scholar 

  5. Sivaramakrishna, R., Powell, K.A., Lieber, M.L., Chilcote, W.A., Shekhar, R.: Texture analysis of lesions in breast ultrasound images. Computerized medical imaging and graphics 26(5), 303–307 (2002)

    Article  Google Scholar 

  6. Stavros, A.T., Rapp, C.L., Parker, S.H.: Breast ultrasound. Lippincott Williams & Wilkins (2004)

    Google Scholar 

  7. Taylor, K.J.W., Merritt, C., Piccoli, C., Schmidt, R., Rouse, G., Fornage, B., Rubin, E., Georgian-Smith, D., Winsberg, F., Goldberg, B., et al.: Ultrasound as a complement to mammography and breast examination to characterize breast masses. Ultrasound in Medicine & Biology 28(1), 19–26 (2002)

    Article  Google Scholar 

  8. Warfield, S.K., Zou, K.H., Wells, W.M.: Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Transactions on Medical Imaging 23(7), 903–921 (2004)

    Article  Google Scholar 

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Massich, J., Meriaudeau, F., Pérez, E., Martí, R., Oliver, A., Martí, J. (2010). Lesion Segmentation in Breast Sonography. In: Martí, J., Oliver, A., Freixenet, J., Martí, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_6

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  • DOI: https://doi.org/10.1007/978-3-642-13666-5_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13665-8

  • Online ISBN: 978-3-642-13666-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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