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Brain Tumor Classification Through MR Imaging: A Comparative Analysis

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Cognitive Computing and Cyber Physical Systems (IC4S 2023)

Abstract

Tumor in brain is one of the serious diseases throughout the world and it leads to death around 300 thousand people in 2020. Hence, Brain tumor diagnosis is a sensible and important task in clinical and medical field. Identification of illness, area, depth and severity of the disease are major challenges encountered before technological improvement in the clinical field. These major challenges are fulfilled few decades ago by acquiring images of human body parts with collaborations of electronic and mechanical devices. The familiar medical images are Magnetic Resonance Imaging (MRI) Scan, Computed Tomography (CT) Scan and Positron Emission Tomography (PET) Scan. Manual observation of aforementioned scans may lead error in the treatment. Hence, various image processing algorithms and pre-trained methods have been employed on medical images to identify the accurate location, area, depth and severity of the disease, which effectively improvise the treatment. The evolution process has several stages such as: preprocessing; segmentation; future extraction; and classification. Therefore, this work presents a detailed report of CNN based brain tumor classification methods through MR imaging scans. Finally, the performance measures of brain tumor classification methods have been presented and compared.

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Authors and Affiliations

  1. Department of ECE, Vishnu Institute of Technology, Bhimavaram, India

    G . Prasanna Kumar, K. Kiran, Prudhvi Raj Budumuru & Yallapu Srinivas

  2. Department of ECE, SRKR Engineering College, Bhimavaram, India

    Kanakaraju Penmetsa

  3. Department of ECE, DNR College of Engineering and Technology, Bhimavaram, India

    K . Indira Priyadarsini

Authors
  1. G . Prasanna Kumar
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  2. K. Kiran
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  3. Kanakaraju Penmetsa
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  4. K . Indira Priyadarsini
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  5. Prudhvi Raj Budumuru
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  6. Yallapu Srinivas
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Correspondence to Prudhvi Raj Budumuru .

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Editors and Affiliations

  1. Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India

    Prakash Pareek

  2. Norwegian University of Science and Technology, Gjøvik, Norway

    Nishu Gupta

  3. University of Trás-os-Montes e Alto Douro, Vila Real, Portugal

    M. J. C. S. Reis

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Prasanna Kumar, G..., Kiran, K., Penmetsa, K., Indira Priyadarsini, K..., Budumuru, P.R., Srinivas, Y. (2024). Brain Tumor Classification Through MR Imaging: A Comparative Analysis. In: Pareek, P., Gupta, N., Reis, M.J.C.S. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-031-48888-7_38

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  • DOI: https://doi.org/10.1007/978-3-031-48888-7_38

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-48888-7

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