Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning.
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| Title: | Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning. |
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| Authors: | Valmaggia P; Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.; Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.; Department of Ophthalmology, University Hospital Basel, Basel, Switzerland., Friedli P; Supercomputing Systems AG, Zürich, Switzerland., Hörmann B; Supercomputing Systems AG, Zürich, Switzerland., Kaiser P; Supercomputing Systems AG, Zürich, Switzerland., Scholl HPN; Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.; Department of Ophthalmology, University Hospital Basel, Basel, Switzerland., Cattin PC; Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland., Sandkühler R; Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland., Maloca PM; Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.; Department of Ophthalmology, University Hospital Basel, Basel, Switzerland.; Moorfields Eye Hospital NHS Foundation Trust, London, EC1V 2PD, UK. |
| Source: | Translational vision science & technology [Transl Vis Sci Technol] 2022 Sep 01; Vol. 11 (9), pp. 25. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Association for Research in Vision and Ophthalmology Country of Publication: United States NLM ID: 101595919 Publication Model: Print Cited Medium: Internet ISSN: 2164-2591 (Electronic) Linking ISSN: 21642591 NLM ISO Abbreviation: Transl Vis Sci Technol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36156729 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Valmaggia+P%22">Valmaggia P</searchLink>; Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.; Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.; Department of Ophthalmology, University Hospital Basel, Basel, Switzerland.<br /><searchLink fieldCode="AU" term="%22Friedli+P%22">Friedli P</searchLink>; Supercomputing Systems AG, Zürich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Hörmann+B%22">Hörmann B</searchLink>; Supercomputing Systems AG, Zürich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Kaiser+P%22">Kaiser P</searchLink>; Supercomputing Systems AG, Zürich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Scholl+HPN%22">Scholl HPN</searchLink>; Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.; Department of Ophthalmology, University Hospital Basel, Basel, Switzerland.<br /><searchLink fieldCode="AU" term="%22Cattin+PC%22">Cattin PC</searchLink>; Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.<br /><searchLink fieldCode="AU" term="%22Sandkühler+R%22">Sandkühler R</searchLink>; Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.<br /><searchLink fieldCode="AU" term="%22Maloca+PM%22">Maloca PM</searchLink>; Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.; Department of Ophthalmology, University Hospital Basel, Basel, Switzerland.; Moorfields Eye Hospital NHS Foundation Trust, London, EC1V 2PD, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101595919%22">Translational vision science & technology</searchLink> [Transl Vis Sci Technol] 2022 Sep 01; Vol. 11 (9), pp. 25. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Association+for+Research+in+Vision+and+Ophthalmology%22">Association for Research in Vision and Ophthalmology </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101595919 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2164-2591 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221642591%22">21642591 </searchLink><i>NLM ISO Abbreviation: </i>Transl Vis Sci Technol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36156729 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1167/tvst.11.9.25 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 25 Titles: – TitleFull: Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Valmaggia P – PersonEntity: Name: NameFull: Friedli P – PersonEntity: Name: NameFull: Hörmann B – PersonEntity: Name: NameFull: Kaiser P – PersonEntity: Name: NameFull: Scholl HPN – PersonEntity: Name: NameFull: Cattin PC – PersonEntity: Name: NameFull: Sandkühler R – PersonEntity: Name: NameFull: Maloca PM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2022 Sep 01 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 2164-2591 Numbering: – Type: volume Value: 11 – Type: issue Value: 9 Titles: – TitleFull: Translational vision science & technology Type: main |
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