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AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia.

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Title: AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia.
Authors: Ghayvat, Hemant1,2,3, Awais, Muhammad4, Bashir, A. K.5,6, Pandya, Sharnil7, Zuhair, Mohd8, Rashid, Mamoon9, mamoon.rashid@vupune.ac.in, Nebhen, Jamel10
Source: Neural Computing & Applications; Jul2023, Vol. 35 Issue 20, p14591-14609, 19p
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: AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00521-022-07055-1
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 14591
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      – TitleFull: AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia.
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            NameFull: Ghayvat, Hemant
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            NameFull: Awais, Muhammad
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            NameFull: Bashir, A. K.
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            NameFull: Pandya, Sharnil
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            NameFull: Zuhair, Mohd
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            NameFull: Rashid, Mamoon
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            NameFull: Nebhen, Jamel
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            – D: 15
              M: 07
              Text: Jul2023
              Type: published
              Y: 2023
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              Value: 35
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            – TitleFull: Neural Computing & Applications
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