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Review of Optimization Methods of Medical Image Segmentation

  • Thuzar KhinEmail author
  • K. Srujan Raju
  • G. R. Sinha
  • Kyi Kyi Khaing
  • Tin Mar Kyi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1090)

Abstract

Medical image segmentation is an important component in medical image analysis and diagnosis which is used as a useful application for medical image processing. Image segmentation of medical images has been implemented and studied by numerous researchers in their various research activities. Robustness of the method is all-time challenge in this type of application of medical image processing. The robustness has been addressed by few researchers but still remains challenging task. The performance of existing research work on medical image segmentation is improved by using optimization techniques. This paper studies and presents a critical review of existing research work that has been used for optimizing the segmentation results. An attempt has also been made to suggest a plan for further formulating a more powerful optimization method to optimize the results that could help in the automated diagnosis of different types of medical images.

Keywords

Medical image segmentation Optimization Image diagnosis Robustness 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Thuzar Khin
    • 1
    Email author
  • K. Srujan Raju
    • 2
  • G. R. Sinha
    • 1
    • 3
  • Kyi Kyi Khaing
    • 1
  • Tin Mar Kyi
    • 1
  1. 1.Myanmar Institute of Information Technology (MIIT)MandalayMyanmar
  2. 2.CMR Technical Campus HyderabadHyderabadIndia
  3. 3.IIIT BangaloreBangaloreIndia

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