Brain Tumor Detection Using a Deep Learning Model

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@article{1704544,
      author = {Suchetha N V, Avinash Bhat , Aravind G Hegde, M Mallikarjuna, Karthik S R},
      title = {Brain Tumor Detection Using a Deep Learning Model},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {11},
      pages = {801-805},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704544.pdf},
      abstract = {The objective of this survey paper is to offer a comprehensive literature review on the use of magnetic resonance imaging (MRI) in the detection of brain tumors. The paper covers a wide range of topics, including tumor analysis, dataset enhancement techniques, segmentation algorithms, feature extraction methods, classification approaches, and the application of deep learning techniques. By examining significant studies and advancements in brain tumor detection using MRI, this review will provide valuable insights into the current state of the field. It also identifies the challenges and trends within the domain, making it an essential resource for researchers interested in further exploration of brain tumor detection using MRI.},
      keywords = {Tumor analysis, MRI, segmentation, feature extraction, Deep Learning},
      month = {May},
  }