Medical image segmentation methods overview

Authors

  • Bohdan V. Chapaliuk The Department of the Mathematical Methods of System Analysis of the Educational and Scientific Complex "Institute for Applied System Analysis" of National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0003-3208-8652
  • Yuriy P. Zaychenko The Department of the Mathematical Methods of System Analysis of the Educational and Scientific Complex "Institute for Applied System Analysis" of National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0001-9662-3269

DOI:

https://doi.org/10.20535/SRIT.2308-8893.2018.1.05

Keywords:

medical image segmentation, multi-atlas based method, deep learning approach

Abstract

This article provides an overview of the modern medical image segmentation methods. The most popular methods such as multi-atlas based methods and deep learning approach are considered in more details. In addition, this article overviews different steps of the multi-atlas based methods (MAS) in detail and shows which modern algorithms and approaches used in different steps of MAS to achieve state of the art results in the medical image segmentation task and how it affects the accuracy of the algorithm. Also, there is a brief description of the modern deep learning algorithms which are used for the medical image segmentation. Such type of algorithm is used as an independent algorithm or as a part of the MAS. Finally, this article summarizes described algorithms and evaluate which approaches promise to improve state of the art result of the medical image segmentation in the future.

Author Biographies

Bohdan V. Chapaliuk, The Department of the Mathematical Methods of System Analysis of the Educational and Scientific Complex "Institute for Applied System Analysis" of National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Bohdan Chapaliuk,

a Ph.D. student at the Department of the Mathematical Methods of System Analysis of the Educational and Scientific Complex "Institute for Applied System Analysis" of National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

Yuriy P. Zaychenko, The Department of the Mathematical Methods of System Analysis of the Educational and Scientific Complex "Institute for Applied System Analysis" of National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Yuriy Zaychenko,

Doctor of Technical sciences, a professor at the Department of the Mathematical Methods of System Analysis of the Educational and Scientific Complex "Institute for Applied System Analysis" of National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

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Published

2018-03-20

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Section

Progressive information technologies, high-efficiency computer systems