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Breast Strain Imaging: A Cad Framework

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Deformable Models

In 2D ultrasound Computer-Aided Diagnosis (CAD), the main emphasis is extraction of tumor boundaries and its classification into benign and malignant types. This provides a direct tool for breast radiologists and can even prevent breast biopsies, thereby reducing the number of false positives. The prerequisite for accurate breast boundary estimation in 2D breast ultrasound images is accurate segmentation of breast tumors and shape modeling. But this is a challenging task, because there is no set pattern of progression of tumors in the spatiotemporal domain. This chapter adapts a methodology based on geometric deformable models such as the level set, which has the ability to extract the topology of shapes of breast tumors. Using this framework, we extract several features of breast tumors and feed this set of information into a vector machine-based classifier for classification of breast disease. Our system demonstrates accuracy, sensitivity, specificity, PPV, and NPV values of 87, 85, 88, 82, and 89%, respectively.

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Suri, J.S., Chang, RF., Chen, WL., Tsai, CL., Chen, CJ. (2007). Breast Strain Imaging: A Cad Framework. In: Deformable Models. Topics in Biomedical Engineering. International Book Series. Springer, New York, NY. https://doi.org/10.1007/978-0-387-68343-0_8

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  • DOI: https://doi.org/10.1007/978-0-387-68343-0_8

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-31204-0

  • Online ISBN: 978-0-387-68343-0

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