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Texture Analysis of Ultrasound Images of Liver Cirrhosis Through New Indexes

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Innovations in Computational Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 713))

Abstract

In health care, one of the most regular diseases is considered that is liver cirrhosis. The mostly accepted method in the identification of liver cirrhosis is by use of ultrasonic images. In this research paper, a method is proposed for identifying the cirrhotic liver through images of ultrasound. The portion of interest has extracted in the cirrhotic and normal ultrasonic images and approved through a radiologist. The cirrhotic liver’s recognition is discriminated through new two indexes, i.e., area index and ratio index. The results from the projected new indexes verified its practicability and applicability for recognition of cirrhotic liver.

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Author information

Authors and Affiliations

  1. Electronics & Communication Engineering Department, Punjabi University, Patiala, India

    Karan Aggarwal & Manjit Singh Bhamrah

  2. Electronics & Communication Engineering Department, BBSBEC, Fatehgarh Sahib, India

    Hardeep Singh Ryait

Authors
  1. Karan Aggarwal
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  2. Manjit Singh Bhamrah
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  3. Hardeep Singh Ryait
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Corresponding author

Correspondence to Karan Aggarwal .

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Editors and Affiliations

  1. Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, Arkansas, USA

    Brajendra Panda

  2. School of Engineering, GD Goenka University, Gurgaon, Haryana, India

    Sudeep Sharma

  3. Department of Computer Science Engineering, School of Engineering, GD Goenka University, Gurgaon, Haryana, India

    Usha Batra

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Aggarwal, K., Bhamrah, M.S., Ryait, H.S. (2018). Texture Analysis of Ultrasound Images of Liver Cirrhosis Through New Indexes. In: Panda, B., Sharma, S., Batra, U. (eds) Innovations in Computational Intelligence . Studies in Computational Intelligence, vol 713. Springer, Singapore. https://doi.org/10.1007/978-981-10-4555-4_7

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  • DOI: https://doi.org/10.1007/978-981-10-4555-4_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4554-7

  • Online ISBN: 978-981-10-4555-4

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