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A Survey of Stroke Image Analysis Techniques

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Advances of Science and Technology (ICAST 2021)

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Abstract

Stroke is one of the instantaneously shocking and spiking cerebrovascular diseases having substantial residual effects. Image analysis techniques have the ability to diagnosing and providing proper treatment for stroke patients. To lighten the problem, various techniques of image analysis have been proposed. Thus, this survey intended to analyze these proposed image analysis approaches intending to thoroughly examine the state-of-the-art image analysis techniques. To prepare this survey, the systematic literature review method was employed. Based on the reviewed literature, several clinical and biological image datasets are found to be used in the process of stroke diagnosis. However, there are very few publicly accessible datasets are available currently. In this survey, each image analysis technique used for stroke image analysis processes is briefly discussed. Finally, open research challenges are identified that could be addressed in the future.

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Authors and Affiliations

  1. AI & Robotics CoE, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

    Henok Yared Agizew & Asrat Mulatu Beyene

  2. Department of Electrical and Computer Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

    Asrat Mulatu Beyene

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  1. Henok Yared Agizew
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Correspondence to Asrat Mulatu Beyene .

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  1. Bahir Dar Institute of Technology, Faculty of Civil and Water Resource Engineering, Bahir Dar University, Bahir Dar, Ethiopia

    Mulatu Liyew Berihun

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Agizew, H.Y., Beyene, A.M. (2022). A Survey of Stroke Image Analysis Techniques. In: Berihun, M.L. (eds) Advances of Science and Technology. ICAST 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-030-93709-6_30

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  • DOI: https://doi.org/10.1007/978-3-030-93709-6_30

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