Automating Pitted Red Blood Cell Counts Using Deep Neural Network Analysis: A New Method for Measuring Splenic Function in Sickle Cell Anaemia.
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| Title: | Automating Pitted Red Blood Cell Counts Using Deep Neural Network Analysis: A New Method for Measuring Splenic Function in Sickle Cell Anaemia. |
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| Authors: | Nardo-Marino A; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.; Centre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.; Department of Haematological Medicine, King's College Hospital, London, United Kingdom.; School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom., Braunstein TH; Core Facility for Integrated Microscopy, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Petersen J; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Brewin JN; Department of Haematological Medicine, King's College Hospital, London, United Kingdom.; School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom., Mottelson MN; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Williams TN; KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.; Institute of Global Health Innovation, Faculty of Medicine, Department of Surgery and Cancer, Imperial College London, London, United Kingdom., Kurtzhals JAL; Centre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.; Department of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Rees DC; Department of Haematological Medicine, King's College Hospital, London, United Kingdom.; School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom., Glenthøj A; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark. |
| Source: | Frontiers in physiology [Front Physiol] 2022 Apr 05; Vol. 13, pp. 859906. Date of Electronic Publication: 2022 Apr 05 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101549006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-042X (Print) Linking ISSN: 1664042X NLM ISO Abbreviation: Front Physiol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35480040 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Automating Pitted Red Blood Cell Counts Using Deep Neural Network Analysis: A New Method for Measuring Splenic Function in Sickle Cell Anaemia. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Nardo-Marino+A%22">Nardo-Marino A</searchLink>; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.; Centre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.; Department of Haematological Medicine, King's College Hospital, London, United Kingdom.; School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Braunstein+TH%22">Braunstein TH</searchLink>; Core Facility for Integrated Microscopy, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Petersen+J%22">Petersen J</searchLink>; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Brewin+JN%22">Brewin JN</searchLink>; Department of Haematological Medicine, King's College Hospital, London, United Kingdom.; School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Mottelson+MN%22">Mottelson MN</searchLink>; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Williams+TN%22">Williams TN</searchLink>; KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.; Institute of Global Health Innovation, Faculty of Medicine, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Kurtzhals+JAL%22">Kurtzhals JAL</searchLink>; Centre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.; Department of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Rees+DC%22">Rees DC</searchLink>; Department of Haematological Medicine, King's College Hospital, London, United Kingdom.; School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Glenthøj+A%22">Glenthøj A</searchLink>; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101549006%22">Frontiers in physiology</searchLink> [Front Physiol] 2022 Apr 05; Vol. 13, pp. 859906. <i>Date of Electronic Publication: </i>2022 Apr 05 (<i>Print Publication: </i>2022). – 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="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101549006 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-042X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221664042X%22">1664042X </searchLink><i>NLM ISO Abbreviation: </i>Front Physiol <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35480040 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fphys.2022.859906 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 859906 Titles: – TitleFull: Automating Pitted Red Blood Cell Counts Using Deep Neural Network Analysis: A New Method for Measuring Splenic Function in Sickle Cell Anaemia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nardo-Marino A – PersonEntity: Name: NameFull: Braunstein TH – PersonEntity: Name: NameFull: Petersen J – PersonEntity: Name: NameFull: Brewin JN – PersonEntity: Name: NameFull: Mottelson MN – PersonEntity: Name: NameFull: Williams TN – PersonEntity: Name: NameFull: Kurtzhals JAL – PersonEntity: Name: NameFull: Rees DC – PersonEntity: Name: NameFull: Glenthøj A IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 04 Text: 2022 Apr 05 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 1664-042X Numbering: – Type: volume Value: 13 Titles: – TitleFull: Frontiers in physiology Type: main |
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