Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs.
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| Title: | Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs. |
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| Authors: | Martin E; Commonwealth Scientific and Industrial Research Organisation (CSIRO), Kensington, WA, Australia. eve.martin@uwa.edu.au.; School of Population and Global Health, The University of Western Australia, Crawley, Australia. eve.martin@uwa.edu.au.; Dobney Hypertension Centre - Royal Perth Hospital Unit, Medical School, The University of Western Australia, Perth, Australia. eve.martin@uwa.edu.au.; Australian e-Health Research Centre, Floreat, WA, Australia. eve.martin@uwa.edu.au., Cook AG; School of Population and Global Health, The University of Western Australia, Crawley, Australia., Frost SM; Commonwealth Scientific and Industrial Research Organisation (CSIRO), Kensington, WA, Australia.; Australian e-Health Research Centre, Floreat, WA, Australia., Turner AW; Lions Eye Institute, Nedlands, WA, Australia.; Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia., Chen FK; Lions Eye Institute, Nedlands, WA, Australia.; Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia.; Centre for Eye Research Australia, The Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, Australia.; Ophthalmology, Department of Surgery, The University of Melbourne, East Melbourne, VIC, Australia.; Ophthalmology Department, Royal Perth Hospital, Perth, Australia., McAllister IL; Lions Eye Institute, Nedlands, WA, Australia.; Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia., Nolde JM; Dobney Hypertension Centre - Royal Perth Hospital Unit, Medical School, The University of Western Australia, Perth, Australia.; Departments of Cardiology and Nephrology, Royal Perth Hospital, Perth, Australia., Schlaich MP; Dobney Hypertension Centre - Royal Perth Hospital Unit, Medical School, The University of Western Australia, Perth, Australia.; Departments of Cardiology and Nephrology, Royal Perth Hospital, Perth, Australia. |
| Source: | Eye (London, England) [Eye (Lond)] 2024 Sep; Vol. 38 (13), pp. 2581-2588. Date of Electronic Publication: 2024 May 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 8703986 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-5454 (Electronic) Linking ISSN: 0950222X NLM ISO Abbreviation: Eye (Lond) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38734746 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Martin+E%22">Martin E</searchLink>; Commonwealth Scientific and Industrial Research Organisation (CSIRO), Kensington, WA, Australia. eve.martin@uwa.edu.au.; School of Population and Global Health, The University of Western Australia, Crawley, Australia. eve.martin@uwa.edu.au.; Dobney Hypertension Centre - Royal Perth Hospital Unit, Medical School, The University of Western Australia, Perth, Australia. eve.martin@uwa.edu.au.; Australian e-Health Research Centre, Floreat, WA, Australia. eve.martin@uwa.edu.au.<br /><searchLink fieldCode="AU" term="%22Cook+AG%22">Cook AG</searchLink>; School of Population and Global Health, The University of Western Australia, Crawley, Australia.<br /><searchLink fieldCode="AU" term="%22Frost+SM%22">Frost SM</searchLink>; Commonwealth Scientific and Industrial Research Organisation (CSIRO), Kensington, WA, Australia.; Australian e-Health Research Centre, Floreat, WA, Australia.<br /><searchLink fieldCode="AU" term="%22Turner+AW%22">Turner AW</searchLink>; Lions Eye Institute, Nedlands, WA, Australia.; Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia.<br /><searchLink fieldCode="AU" term="%22Chen+FK%22">Chen FK</searchLink>; Lions Eye Institute, Nedlands, WA, Australia.; Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia.; Centre for Eye Research Australia, The Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, Australia.; Ophthalmology, Department of Surgery, The University of Melbourne, East Melbourne, VIC, Australia.; Ophthalmology Department, Royal Perth Hospital, Perth, Australia.<br /><searchLink fieldCode="AU" term="%22McAllister+IL%22">McAllister IL</searchLink>; Lions Eye Institute, Nedlands, WA, Australia.; Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia.<br /><searchLink fieldCode="AU" term="%22Nolde+JM%22">Nolde JM</searchLink>; Dobney Hypertension Centre - Royal Perth Hospital Unit, Medical School, The University of Western Australia, Perth, Australia.; Departments of Cardiology and Nephrology, Royal Perth Hospital, Perth, Australia.<br /><searchLink fieldCode="AU" term="%22Schlaich+MP%22">Schlaich MP</searchLink>; Dobney Hypertension Centre - Royal Perth Hospital Unit, Medical School, The University of Western Australia, Perth, Australia.; Departments of Cardiology and Nephrology, Royal Perth Hospital, Perth, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228703986%22">Eye (London, England)</searchLink> [Eye (Lond)] 2024 Sep; Vol. 38 (13), pp. 2581-2588. <i>Date of Electronic Publication: </i>2024 May 11. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>8703986 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-5454 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220950222X%22">0950222X </searchLink><i>NLM ISO Abbreviation: </i>Eye (Lond) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38734746 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41433-024-03085-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2581 Titles: – TitleFull: Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Martin E – PersonEntity: Name: NameFull: Cook AG – PersonEntity: Name: NameFull: Frost SM – PersonEntity: Name: NameFull: Turner AW – PersonEntity: Name: NameFull: Chen FK – PersonEntity: Name: NameFull: McAllister IL – PersonEntity: Name: NameFull: Nolde JM – PersonEntity: Name: NameFull: Schlaich MP IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2024 Sep Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1476-5454 Numbering: – Type: volume Value: 38 – Type: issue Value: 13 Titles: – TitleFull: Eye (London, England) Type: main |
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