Abstract
The most common type of cancer among women is breast cancer. The early diagnosis is crucial in a treatment process. The radiology support system in the diagnostic process allows faster and more accurate radiographic contouring. The aim of the paper is to present a new method for ultrasound image segmentation of breast lesions. The segmentation technique is based on active contour models whereas anisotropic diffusion is used for preprocessing. The Dice Index calculated in most of analyzed cases was greater than 80%. Delineation of the tumor can also be used to calculate the size and volume automatically, and shortened the time of the diagnosis.
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Acknowledgements
This research was supported by the Polish Ministry of Science and Silesian University of Technology statutory financial support for young researchers BKM-510/RAu-3/2017. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the abstract.
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Galińska, M., Ogiegło, W., Wijata, A., Juszczyk, J., Czajkowska, J. (2018). Breast Cancer Segmentation Method in Ultrasound Images. In: Gzik, M., Tkacz, E., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering . IBE 2017. Advances in Intelligent Systems and Computing, vol 623 . Springer, Cham. https://doi.org/10.1007/978-3-319-70063-2_3
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DOI: https://doi.org/10.1007/978-3-319-70063-2_3
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