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Review of Segmentation and Classification Techniques in Computer-Aided Detection of Brain Tumor from MRI

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Proceedings of International Conference on Computational Intelligence and Computing

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

An accurate detection of brain tumors from brain magnetic resonance imaging (MRI) scan is a challenging task for a specialist neurologist. Due to different factors such as disturbances due to image acquisition and lack of expert knowledge the manual analysis of MRI scan is challenging. Therefore, the computer-aided detection of brain tumors from MRI scans has been widely used. This paper presents different types of brain tumors prevalent nowadays and the future advancement of computer-aided detection of MRI scans. A survey of medical image processing for MRI scan along with its advantages and disadvantages are summarized.

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Author information

Authors and Affiliations

  1. School of Electronics Engineering, KIIT University, Bhubaneswar, India

    Sucharita Jena, Mamata Panigrahy & Jitendra Kumar Das

Authors
  1. Sucharita Jena
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  2. Mamata Panigrahy
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  3. Jitendra Kumar Das
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Editor information

Editors and Affiliations

  1. Computer Science & Engineering, University of Kalyani, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

  2. Department of Electronics and Communication Engineering, Eureka Scientech Research Foundation, Agarpara, West Bengal, India

    Joyanta Kumar Roy

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Jena, S., Panigrahy, M., Das, J.K. (2022). Review of Segmentation and Classification Techniques in Computer-Aided Detection of Brain Tumor from MRI. In: Mandal, J.K., Roy, J.K. (eds) Proceedings of International Conference on Computational Intelligence and Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-3368-3_19

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