Auto Segmentation of Breast Tumor in B-Mode Ultrasound Analysis

Authors

  • Shahriar Mahmud Kabir Assistant Professor, Department of EEE,Green University of Bangladesh, Dhaka
  • Mohammed Imamul Hassan Bhuiyan Chairperson, Department of Biomedical Engineering, BUET, Dhaka

DOI:

https://doi.org/10.3329/gubjse.v5i1.47903

Keywords:

Breast Cancer, Segmentation, B-Mode image etc.

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.

GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 5(1), Dec 2018 P 75-78

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Published

2018-06-28

How to Cite

Kabir, S. M., & Bhuiyan, M. I. H. (2018). Auto Segmentation of Breast Tumor in B-Mode Ultrasound Analysis. GUB Journal of Science and Engineering, 5(1), 75–78. https://doi.org/10.3329/gubjse.v5i1.47903

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Articles