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Brain tumor diagnosis using CT scan and MRI images based on a deep learning method based on VGG

Published: 01 January 2023 Publication History

Abstract

Brain cancer is one of the most deadly forms of cancer today, and its timely and accurate diagnosis can significantly impact the patient’s quality of life. A computerized tomography scan (CT) and magnetic resonance imaging (MRI) of the brain is required to diagnose this condition. In the past, several methods have been proposed as a means of diagnosing brain tumors through the use of medical images. However, due to the similarity between tumor tissue and other brain tissues, these methods have not proven to be accurate. A novel method for diagnosing brain tumors using MRI and CT scan images is presented in this paper. An architecture based on deep learning is used to extract the distinguishing characteristics of brain tissue from tumors. The use of fusion images allows for more accurate detection of tumor types. In comparison with other approaches, the proposed method has demonstrated superior results.

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    Published In

    cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
    Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology  Volume 45, Issue 2
    2023
    1588 pages

    Publisher

    IOS Press

    Netherlands

    Publication History

    Published: 01 January 2023

    Author Tags

    1. Deep learning
    2. brain tumor
    3. visual geometry group
    4. CT scan
    5. MRI images

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