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Automatic Classification of A-Lines in Intravascular OCT Images Using Deep Learning and Estimation of Attenuation Coefficients.

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Title: Automatic Classification of A-Lines in Intravascular OCT Images Using Deep Learning and Estimation of Attenuation Coefficients.
Authors: Cheimariotis, Grigorios-Aris1, ncheimar@gmail.com, Riga, Maria2, ma.riga@yahoo.com, Haris, Kostas1, konharis@gmail.com, Toutouzas, Konstantinos2, ktoutouz@gmail.com, Katsaggelos, Aggelos K.3, aggk@eecs.northwestern.edu, Maglaveras, Nicos1, nicmag@auth.gr
Source: Applied Sciences (2076-3417); Aug2021, Vol. 11 Issue 16, p7412, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Automatic Classification of A-Lines in Intravascular OCT Images Using Deep Learning and Estimation of Attenuation Coefficients.
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      – Type: doi
        Value: 10.3390/app11167412
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 7412
    Titles:
      – TitleFull: Automatic Classification of A-Lines in Intravascular OCT Images Using Deep Learning and Estimation of Attenuation Coefficients.
        Type: main
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            NameFull: Cheimariotis, Grigorios-Aris
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            NameFull: Riga, Maria
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            NameFull: Haris, Kostas
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            NameFull: Toutouzas, Konstantinos
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            NameFull: Katsaggelos, Aggelos K.
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            NameFull: Maglaveras, Nicos
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            – D: 15
              M: 08
              Text: Aug2021
              Type: published
              Y: 2021
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              Value: 11
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              Value: 16
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            – TitleFull: Applied Sciences (2076-3417)
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