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Stacking approach for accurate Invasive Ductal Carcinoma classification.

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Title: Stacking approach for accurate Invasive Ductal Carcinoma classification.
Authors: Haq, Amin Ul1, khan.amin50@yahoo.com, Li, Jian Ping1, jpli2222@uestc.edu.cn, Ali, Zafar2, Khan, Inayat3, Khan, Ajab4, Uddin, M. Irfan5, Agbley, Bless Lord Y.1, Khan, Riaz Ullah6
Source: Computers & Electrical Engineering; May2022, Vol. 100, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 157219616
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Stacking approach for accurate Invasive Ductal Carcinoma classification.
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Electrical+Engineering%22">Computers & Electrical Engineering</searchLink>; May2022, Vol. 100, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=157219616
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.compeleceng.2022.107937
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      – Code: eng
        Text: English
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      – TitleFull: Stacking approach for accurate Invasive Ductal Carcinoma classification.
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            NameFull: Haq, Amin Ul
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            NameFull: Li, Jian Ping
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            NameFull: Ali, Zafar
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            NameFull: Khan, Inayat
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            NameFull: Khan, Ajab
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            NameFull: Agbley, Bless Lord Y.
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            – D: 01
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              Text: May2022
              Type: published
              Y: 2022
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