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RETRACTED ARTICLE: Computer-aided detection of brain tumor from magnetic resonance images using deep learning network

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This article was retracted on 20 June 2022

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Abstract

Brain tumor can be considered to be a fatal and life-threatening disease caused by undesirable cell proliferation in the human brain. Out of the several diseases in the field of medical science, brain tumor turns out to be one of the most uncompromising problems. A tumor can be categorized as benign or malignant types in which benign tumors are non-cancerous while malignant tumors are cancerous tumors. There are numerous tumor detection methods but there are still more research going on in this area since quantitative analysis, an accurate disease diagnosis and detection of brain tumor are very much essential with scientific proofs. Therefore, timely planning can be prepared to save a person’s life with brain tumor. This paper presents a computer aided approach with a 2D convolutional neural network for classifying the brain MRI images into two classes: Normal class and tumor class. In this paper, other classification methods are also used for comparison. The results are compared in terms of precision value, Recall value, F1-Score value. This proposed method shows better accuracy of 97% than the other methods.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Manipur, Imphal, India

    Maibam Mangalleibi Chanu & Khelchandra Thongam

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  1. Maibam Mangalleibi Chanu
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  2. Khelchandra Thongam
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Correspondence to Maibam Mangalleibi Chanu.

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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s12652-022-04171-7

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Chanu, M.M., Thongam, K. RETRACTED ARTICLE: Computer-aided detection of brain tumor from magnetic resonance images using deep learning network. J Ambient Intell Human Comput 12, 6911–6922 (2021). https://doi.org/10.1007/s12652-020-02336-w

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  • DOI: https://doi.org/10.1007/s12652-020-02336-w

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