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  • 标题:A Comprehensive Study on Classification of Brain Tumor Detection by using Machine Learning
  • 本地全文:下载
  • 作者:J. Hari Krishna ; Ammisetty Tarun Kumar ; Gogineni Sai Kiran
  • 期刊名称:International Journal of Early Childhood Special Education
  • 电子版ISSN:1308-5581
  • 出版年度:2022
  • 卷号:14
  • 期号:5
  • 页码:4024-4033
  • DOI:10.9756/INTJECSE/V14I5.463
  • 语种:English
  • 出版社:International Journal of Early Childhood Special Education
  • 摘要:Cells develop quickly and uncontrollably, which causes brain tumours.It may cause death if not addressed in the beginning stages.Although there have been many substantial efforts and encouraging results in this field, precise segmentation and classification remain difficult tasks.Because of the differences in tumour location, shape, and size, detecting brain tumours is extremely difficult.The goal of this survey is to provide researchers with a thorough literature review on brain tumour detection using magnetic resonance imaging.The anatomy of brain tumours, datasets that were made available to the public, augmentation methods, segmentation, feature extraction, classification, and deep learning, transfer learning, and quantum machine learning for the study of brain tumours were all included in this survey.Finally, this review presents all relevant material for the detection of brain tumours, including its benefits, drawbacks, advances, and outlook.
  • 关键词:Brain imaging modalities;segmentation;feature extraction;MRI;and stroke are some related
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