Journal article Open Access

Brain Tumor Segmentation and Classification using Multiple Feature Extraction and Convolutional Neural Networks

Tasmiya Tazeen; Mrinal Sarvagya


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
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  "about": [
    {
      "@id": "", 
      "@type": "CreativeWork"
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    {
      "@id": "https://hdl.handle.net/100.1/ijeat.F29480810621", 
      "@type": "CreativeWork"
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  "description": "<p>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.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "School of Electronics and Communication Engineering, Reva University, Bengaluru-560064, India.", 
      "@type": "Person", 
      "name": "Tasmiya Tazeen"
    }, 
    {
      "affiliation": "School of Electronics and Communication Engineering, Reva University, Bengaluru-560064, India.", 
      "@type": "Person", 
      "name": "Mrinal Sarvagya"
    }
  ], 
  "headline": "Brain Tumor Segmentation and Classification using Multiple Feature Extraction and Convolutional Neural Networks", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2021-08-30", 
  "keywords": [
    "Segmentation, Brain Tumor, Convolutional  Neural Network, Deep Learning."
  ], 
  "url": "https://zenodo.org/record/5408324", 
  "contributor": [
    {
      "affiliation": "Publisher", 
      "@type": "Person", 
      "name": "Blue Eyes Intelligence Engineering  and Sciences Publication (BEIESP)"
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  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.35940/ijeat.F2948.0810621", 
  "@id": "https://doi.org/10.35940/ijeat.F2948.0810621", 
  "@type": "ScholarlyArticle", 
  "name": "Brain Tumor Segmentation and Classification using Multiple Feature Extraction and Convolutional Neural Networks"
}
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