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Multi-Class Breast Cancer Histopathological Image Classification Using Multi-Scale Pooled Image Feature Representation (MPIFR) and One-Versus-One Support Vector Machines.

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Title: Multi-Class Breast Cancer Histopathological Image Classification Using Multi-Scale Pooled Image Feature Representation (MPIFR) and One-Versus-One Support Vector Machines.
Authors: Clement, David1,2,3, Agu, Emmanuel2, emmanuel@wpi.edu, Suleiman, Muhammad A.3, Obayemi, John2, Adeshina, Steve3, Soboyejo, Wole2
Source: Applied Sciences (2076-3417); Jan2023, Vol. 13 Issue 1, p156, 27p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Multi-Class Breast Cancer Histopathological Image Classification Using Multi-Scale Pooled Image Feature Representation (MPIFR) and One-Versus-One Support Vector Machines.
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      – Type: doi
        Value: 10.3390/app13010156
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 156
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      – TitleFull: Multi-Class Breast Cancer Histopathological Image Classification Using Multi-Scale Pooled Image Feature Representation (MPIFR) and One-Versus-One Support Vector Machines.
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            NameFull: Agu, Emmanuel
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              Text: Jan2023
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              Y: 2023
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