Published August 30, 2021 | Version v1
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Brain Tumor Segmentation and Classification using Multiple Feature Extraction and Convolutional Neural Networks

  • 1. School of Electronics and Communication Engineering, Reva University, Bengaluru-560064, India.
  • 1. Publisher


Intracranial tumors are a type of cancer that grows spontaneously inside the skull. Brain tumor is the cause for one in four deaths. Hence early detection of the tumor is important. For this aim, a variety of segmentation techniques are available. The fundamental disadvantage of present approaches is their low segmentation accuracy. With the help of magnetic resonance imaging (MRI), a preventive medical step of early detection and evaluation of brain tumor is done. Magnetic resonance imaging (MRI) offers detailed information on human delicate tissue, which aids in the diagnosis of a brain tumor. The proposed method in this paper is Brain Tumour Detection and Classification based on Ensembled Feature extraction and classification using CNN.



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Journal article: 2249-8958 (ISSN)


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