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Classification of Brain Tumor MRIs Using Deep Learning and Data Augmentation

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Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1299))

Abstract

Brain tumor identification and classification is crucial in everyday life. This paper focuses on a four-class classification problem to differentiate between three prominent types of brain tumor namely glioma, meningioma, pituitary tumors and no tumor. The proposed system uses deep transfer learning and two pre-trained and one custom model to classify these brain MRI images. The empirical work is performed using a custom dataset made from existing public datasets. The proposed system registers a classification accuracy of up to 99%. Performance measures such as precision, recall and F-score have also been calculated. Moreover, since the dataset is not so big, the results show that transfer learning is a useful technique when the availability of medical images is limited.

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Author information

Authors and Affiliations

  1. FoICDT, University of Mauritius, Moka, Mauritius

    Gulshansingh Bhagbut & Zahra Mungloo-Dilmohamud

Authors
  1. Gulshansingh Bhagbut
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  2. Zahra Mungloo-Dilmohamud
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Corresponding author

Correspondence to Zahra Mungloo-Dilmohamud .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Chhabi Rani Panigrahi

  2. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  3. Department of Computer Science and Engineering, S ‘O’ A Deemed to be University, Bhubaneswar, Odisha, India

    Binod Kumar Pattanayak

  4. Faculty of Information and Communication Technology, Université des Mascareignes, Pamplemousses, Mauritius

    Seeven Amic

  5. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Bhagbut, G., Mungloo-Dilmohamud, Z. (2021). Classification of Brain Tumor MRIs Using Deep Learning and Data Augmentation. In: Panigrahi, C.R., Pati, B., Pattanayak, B.K., Amic, S., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1299. Springer, Singapore. https://doi.org/10.1007/978-981-33-4299-6_6

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  • DOI: https://doi.org/10.1007/978-981-33-4299-6_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4298-9

  • Online ISBN: 978-981-33-4299-6

  • eBook Packages: EngineeringEngineering (R0)

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