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Radiology Report Generation Using Deep Learning and Web-Based Deployment for Chest X-Ray Analysis.

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Title: Radiology Report Generation Using Deep Learning and Web-Based Deployment for Chest X-Ray Analysis.
Authors: Agbolade, David1, dagbolade72@gmail.com, Heydarian, Peyman1, peyman.heydarian@solent.ac.uk, Ahmad, Shakeel1, shakeel.ahmad@solent.ac.uk
Source: Journal of Informatics & Web Engineering (JIWE); Feb2026, Vol. 5 Issue 1, p37-51, 15p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193370844
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Radiology Report Generation Using Deep Learning and Web-Based Deployment for Chest X-Ray Analysis.
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  Data: <searchLink fieldCode="AU" term="%22Agbolade%2C+David%22">Agbolade, David</searchLink><relatesTo>1</relatesTo>, <i>dagbolade72@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Heydarian%2C+Peyman%22">Heydarian, Peyman</searchLink><relatesTo>1</relatesTo>, <i>peyman.heydarian@solent.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Ahmad%2C+Shakeel%22">Ahmad, Shakeel</searchLink><relatesTo>1</relatesTo>, <i>shakeel.ahmad@solent.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Informatics+%26+Web+Engineering+%28JIWE%29%22">Journal of Informatics & Web Engineering (JIWE)</searchLink>; Feb2026, Vol. 5 Issue 1, p37-51, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193370844
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.33093/jiwe.2026.5.1.3
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 37
    Titles:
      – TitleFull: Radiology Report Generation Using Deep Learning and Web-Based Deployment for Chest X-Ray Analysis.
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            NameFull: Agbolade, David
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            NameFull: Heydarian, Peyman
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            NameFull: Ahmad, Shakeel
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            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 5
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