AUTO SEGMENTATION OF BREAST TUMOR IN B-MODE ULTRASOUND ANALYSIS
##plugins.themes.bootstrap3.article.sidebar##
##plugins.themes.bootstrap3.article.main##
Abstract
Segmentation or lesion boundary detection in classification of Benign and Malignant breast tumors from B-Mode ultrasound image analysis is a challenging one. In this study, first a suitable frame is chosen by strain and velocity imaging from a raw radio frequency (RF) echo of clinical cases. The consequent B-Mode ultrasound (US) image is calculated and binarized. Finally, the lesion boundary is well-defined by binary dilation technique using MATLAB.
##plugins.themes.bootstrap3.article.details##
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
American Cancer Society website (2018), [Online]. Available: https://www.cancer.org/content/dam/cancer-org/research/ cancer-facts-and-statistics/annual-cancer-facts-and-figures/ 2018/leading-sites-of-new-cancer-cases-and-deaths-2018estimates.pdf
Mohd Anisur Rahman Forazy,“Incidence of breast cancer in Bangladesh,” Health Care, vol. 3, issue 3, pp. 53-54, October 2015.
Steven Halls (2018), “Moose & Doc Breast Cancer.” [Online]. Available: https://breast-cancer.ca/ult-bens
Karla Horsch, Maryellen L. Giger, Luz A. Venta, and Carl J. Vyborny, “Computerized diagnosis of breast lesions on ultrasound” Medical Physics, vol. 29, pp. 157-164, 2002.
Wei-Chih Shen, MS, Ruey-Feng Chang, PhD, Woo Kyung Moon, MD, Yi-Hong Chou, MD, Chiun-Sheng Huang, MD,
“Breast Ultrasound Computer-Aided Diagnosis Using BIRADS Features,” Academic Radiology, Vol. 14, No. 8, pp. 928–939, 2007.
Sharmin R. Ara, Syed Khairul Bashar, Farzana Alam, Md. Kamrul Hasan, “EMD-DWT Based Transform Domain Feature Reduction Approach for Quantitative Multi-class Classification of Breast Tumors”, Ultrasonics, Vol. 80, pp. 22– 33, 2017.
Wikipedia (2018), The Free Encyclopedia website. [Online]. Available: https://en.wikipedia.org/wiki/Medical_ultrasound# Modes
Wikipedia (2018), The Free Encyclopedia website. [Online]. Available: https://en.wikipedia.org/wiki/Binary_image
Hanna Piotrzkowska-Wróblewska, Katarzyna Dobruch-
Sobczak, Michał Byra and Andrzej Nowicki “Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions,” Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Poland, Medical Physics Dataset Article, 2017.
Thomas Kristoffersen Børstad, Comparison of three ultrasound velocity estimators for strain imaging of the brain, Norwegian University of Science and Technology, NTNU 100 skapende
