Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches-an international, multi-center comparative study.
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| Title: | Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches-an international, multi-center comparative study. |
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| Authors: | Fervers P; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Fervers F; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Karlsruhe, Germany., Jaiswal A; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Rinneburger M; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Weisthoff M; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Pollmann-Schweckhorst P; Chair in Marketing Science and Analytics, University of Cologne, Cologne, Germany., Kottlors J; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Carolus H; Philips CT Clinical Science, Philips Healthcare, Hamburg, Germany., Lennartz S; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Maintz D; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Shahzad R; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.; Philips GmbH Innovative Technologies, Philips Healthcare, Aachen, Germany., Persigehl T; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany. |
| Source: | Quantitative imaging in medicine and surgery [Quant Imaging Med Surg] 2022 Nov; Vol. 12 (11), pp. 5156-5170. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: AME Pub Country of Publication: China NLM ID: 101577942 Publication Model: Print Cited Medium: Print ISSN: 2223-4292 (Print) Linking ISSN: 22234306 NLM ISO Abbreviation: Quant Imaging Med Surg Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36330188 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches-an international, multi-center comparative study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Fervers+P%22">Fervers P</searchLink>; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Fervers+F%22">Fervers F</searchLink>; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Karlsruhe, Germany.<br /><searchLink fieldCode="AU" term="%22Jaiswal+A%22">Jaiswal A</searchLink>; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Rinneburger+M%22">Rinneburger M</searchLink>; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Weisthoff+M%22">Weisthoff M</searchLink>; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Pollmann-Schweckhorst+P%22">Pollmann-Schweckhorst P</searchLink>; Chair in Marketing Science and Analytics, University of Cologne, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Kottlors+J%22">Kottlors J</searchLink>; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Carolus+H%22">Carolus H</searchLink>; Philips CT Clinical Science, Philips Healthcare, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Lennartz+S%22">Lennartz S</searchLink>; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Maintz+D%22">Maintz D</searchLink>; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Shahzad+R%22">Shahzad R</searchLink>; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.; Philips GmbH Innovative Technologies, Philips Healthcare, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Persigehl+T%22">Persigehl T</searchLink>; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101577942%22">Quantitative imaging in medicine and surgery</searchLink> [Quant Imaging Med Surg] 2022 Nov; Vol. 12 (11), pp. 5156-5170. – 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="%22AME+Pub%22">AME Pub </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>101577942 <i>Publication Model: </i>Print <i>Cited Medium: </i>Print <i>ISSN: </i>2223-4292 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222234306%22">22234306 </searchLink><i>NLM ISO Abbreviation: </i>Quant Imaging Med Surg <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36330188 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.21037/qims-22-175 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 5156 Titles: – TitleFull: Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches-an international, multi-center comparative study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fervers P – PersonEntity: Name: NameFull: Fervers F – PersonEntity: Name: NameFull: Jaiswal A – PersonEntity: Name: NameFull: Rinneburger M – PersonEntity: Name: NameFull: Weisthoff M – PersonEntity: Name: NameFull: Pollmann-Schweckhorst P – PersonEntity: Name: NameFull: Kottlors J – PersonEntity: Name: NameFull: Carolus H – PersonEntity: Name: NameFull: Lennartz S – PersonEntity: Name: NameFull: Maintz D – PersonEntity: Name: NameFull: Shahzad R – PersonEntity: Name: NameFull: Persigehl T IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2022 Nov Type: published Y: 2022 Identifiers: – Type: issn-print Value: 2223-4292 Numbering: – Type: volume Value: 12 – Type: issue Value: 11 Titles: – TitleFull: Quantitative imaging in medicine and surgery Type: main |
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