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Dataset for a novel AI-powered diagnostic tool for Plasmodium parasite detection authors.

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Title: Dataset for a novel AI-powered diagnostic tool for Plasmodium parasite detection authors.
Authors: Adeleke OT; Directorate of Health Services, Bowen University, Iwo, Nigeria.; Family Medicine Department, Bowen University Teaching Hospital, Ogbomoso, Nigeria., Aworinde HO; Computer Science Department, College of Computing and Communication Studies, Bowen University, Iwo, Nigeria.; Computing and Analytics Research Laboratory, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria., Oboh M; Microbiology, Department, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria., Oladosu O; Pure and Applied Biology Department, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria., Ayenigba AB; Directorate of Health Services, Bowen University, Iwo, Nigeria., Atobatele B; Microbiology, Department, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria., Adeleke OV; Directorate of Health Services, Bowen University, Iwo, Nigeria., Oladipo TS; Family Medicine Department, Bowen University Teaching Hospital, Ogbomoso, Nigeria., Adebayo S; Mechatronics Engineering Programme, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria.; Computing and Analytics Research Laboratory, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria.
Source: Data in brief [Data Brief] 2024 Sep 17; Vol. 57, pp. 110950. Date of Electronic Publication: 2024 Sep 17 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101654995 Publication Model: eCollection Cited Medium: Internet ISSN: 2352-3409 (Electronic) Linking ISSN: 23523409 NLM ISO Abbreviation: Data Brief Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Adeleke+OT%22">Adeleke OT</searchLink>; Directorate of Health Services, Bowen University, Iwo, Nigeria.; Family Medicine Department, Bowen University Teaching Hospital, Ogbomoso, Nigeria.<br /><searchLink fieldCode="AU" term="%22Aworinde+HO%22">Aworinde HO</searchLink>; Computer Science Department, College of Computing and Communication Studies, Bowen University, Iwo, Nigeria.; Computing and Analytics Research Laboratory, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria.<br /><searchLink fieldCode="AU" term="%22Oboh+M%22">Oboh M</searchLink>; Microbiology, Department, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria.<br /><searchLink fieldCode="AU" term="%22Oladosu+O%22">Oladosu O</searchLink>; Pure and Applied Biology Department, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria.<br /><searchLink fieldCode="AU" term="%22Ayenigba+AB%22">Ayenigba AB</searchLink>; Directorate of Health Services, Bowen University, Iwo, Nigeria.<br /><searchLink fieldCode="AU" term="%22Atobatele+B%22">Atobatele B</searchLink>; Microbiology, Department, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria.<br /><searchLink fieldCode="AU" term="%22Adeleke+OV%22">Adeleke OV</searchLink>; Directorate of Health Services, Bowen University, Iwo, Nigeria.<br /><searchLink fieldCode="AU" term="%22Oladipo+TS%22">Oladipo TS</searchLink>; Family Medicine Department, Bowen University Teaching Hospital, Ogbomoso, Nigeria.<br /><searchLink fieldCode="AU" term="%22Adebayo+S%22">Adebayo S</searchLink>; Mechatronics Engineering Programme, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria.; Computing and Analytics Research Laboratory, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+B%2EV%22">Elsevier B.V </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101654995 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2352-3409 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223523409%22">23523409 </searchLink><i>NLM ISO Abbreviation: </i>Data Brief <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1016/j.dib.2024.110950
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      – Code: eng
        Text: English
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      – TitleFull: Dataset for a novel AI-powered diagnostic tool for Plasmodium parasite detection authors.
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              Text: 2024 Sep 17
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