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An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs.

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Title: An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs.
Authors: Sarkar, Alok1, Maniruzzaman, Md.1, Alahe, Mohammad Ashik1, Ahmad, Mohiuddin2
Source: Journal of Sensors; 3/8/2023, p1-19, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 162327559
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Sensors%22">Journal of Sensors</searchLink>; 3/8/2023, p1-19, 19p
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/2023/1224619
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1
    Titles:
      – TitleFull: An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs.
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            NameFull: Sarkar, Alok
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            NameFull: Maniruzzaman, Md.
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            NameFull: Alahe, Mohammad Ashik
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            NameFull: Ahmad, Mohiuddin
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            – D: 08
              M: 03
              Text: 3/8/2023
              Type: published
              Y: 2023
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            – TitleFull: Journal of Sensors
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