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International Conference on Brain Informatics

BI 2019: Brain Informatics pp 136–146Cite as

Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11976))

Abstract

Extracting knowledge from digital images largely depends on how well the mining algorithms can focus on specific regions of the image. In multimodality image analysis, especially in multi-layer diagnostic images, identification of regions of interest is pivotal and this is mostly done through image segmentation. Reliable medical image analysis for error-free diagnosis requires efficient and accurate image segmentation mechanisms. With the advent of advanced machine learning methods, such as deep learning (DL), in intelligent diagnostics, the requirement of efficient and accurate image segmentation becomes crucial. Targeting the beginners, this paper starts with an overview of Convolutional Neural Network, the most widely used DL technique and its application to segment brain regions from Magnetic Resonance Imaging. It then provides a quantitative analysis of the reviewed techniques as well as a rich discussion on their performance. Towards the end, few open challenges are identified and promising future works related to medical image segmentation using DL are indicated.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Jahangirnagar University, Savar, 1342, Dhaka, Bangladesh

    Hafsa Moontari Ali

  2. Institue of Information Technology, Jahangirnagar University, Savar, 1342, Dhaka, Bangladesh

    M. Shamim Kaiser

  3. Department of Computing and Technology, Nottingham Trent University, Clifton, Nottingham, NG11 8NS, UK

    Mufti Mahmud

Authors
  1. Hafsa Moontari Ali
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  2. M. Shamim Kaiser
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  3. Mufti Mahmud
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Corresponding authors

Correspondence to M. Shamim Kaiser or Mufti Mahmud .

Editor information

Editors and Affiliations

  1. Capital Normal University, Beijing, China

    Peipeng Liang

  2. York University, Toronto, ON, Canada

    Vinod Goel

  3. Shanghai University of Traditional Chinese Medicine, Shanghai, China

    Chunlei Shan

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Ali, H.M., Kaiser, M.S., Mahmud, M. (2019). Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data. In: Liang, P., Goel, V., Shan, C. (eds) Brain Informatics. BI 2019. Lecture Notes in Computer Science(), vol 11976. Springer, Cham. https://doi.org/10.1007/978-3-030-37078-7_14

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  • DOI: https://doi.org/10.1007/978-3-030-37078-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37077-0

  • Online ISBN: 978-3-030-37078-7

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