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Appraisal of Breast Ultrasound Image Using Shannon’s Thresholding and Level-Set Segmentation

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Progress in Computing, Analytics and Networking

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1119))

Abstract

As per the statement of the World Health Organization (WHO), breast malignancy is one of the major impacting cancers among women. The availability of the modern disease diagnostic systems and treatment procedure will assist to improve the survival rate. Even though considerable modalities are available to record the breast abnormality, ultrasound imaging technique is frequently used in clinics to record the abnormalities. This study aims to propose a computer-assisted procedure to examine the Breast Ultrasound Image (BUI). The proposed work implements an integration of Shannon’s Entropy Thresholding (SET) to improve the visibility of the image and Level-Set Segmentation (LSS) to extort the abnormal division. The proposed scheme is a semiautomated approach, which aims to mine the suspicious section from the BUI. The extracted suspicious segment is then compared against a ground truth and the essential performance measures are computed to justify the performance of LSS. The overall performance of LSS is then compared and validated with other methods, such as active-contour (AC) and Chan–Vese (CV) and the results of this study confirmed that performance measures attained with LSS, AC, and CV are roughly similar.

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Authors and Affiliations

  1. Department of Electronics and Instrumentation, St. Joseph’s College of Engineering, Chennai, 600119, Tamilnadu, India

    R. Ifan Roy Thanaraj, B. Anand, J. Allen Rahul & V. Rajinikanth

Authors
  1. R. Ifan Roy Thanaraj
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  2. B. Anand
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  3. J. Allen Rahul
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  4. V. Rajinikanth
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Corresponding author

Correspondence to V. Rajinikanth .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Himansu Das

  2. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

  3. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Siddharth Swarup Rautaray

  4. Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Ifan Roy Thanaraj, R., Anand, B., Allen Rahul, J., Rajinikanth, V. (2020). Appraisal of Breast Ultrasound Image Using Shannon’s Thresholding and Level-Set Segmentation. In: Das, H., Pattnaik, P., Rautaray, S., Li, KC. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 1119. Springer, Singapore. https://doi.org/10.1007/978-981-15-2414-1_62

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