Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort.
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| Title: | Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort. |
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| Authors: | Skarsø ER; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical medicine, Aarhus University, Aarhus, Denmark., Refsgaard L; Department of Clinical medicine, Aarhus University, Aarhus, Denmark.; Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark., Saini A; Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Næstved, Denmark., Sloth Møller D; Department of Clinical medicine, Aarhus University, Aarhus, Denmark.; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark., Lorenzen EL; Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Odense, Denmark., Maae E; Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark, Vejle, Denmark., Andersen K; Department of Oncology, Herlev and Gentofte Hospital, Herlev, Denmark., Maraldo MV; Department of Clinical Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark., Milo ML; Department of Oncology, Aalborg University Hospital, Aalborg, Denmark., Nyeng TB; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark., Vrou Offersen B; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical medicine, Aarhus University, Aarhus, Denmark.; Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark.; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark., Korreman SS; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical medicine, Aarhus University, Aarhus, Denmark.; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark. |
| Source: | Acta oncologica (Stockholm, Sweden) [Acta Oncol] 2023 Oct; Vol. 62 (10), pp. 1201-1207. Date of Electronic Publication: 2023 Sep 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Medical Journals Sweden AB Country of Publication: Sweden NLM ID: 8709065 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1651-226X (Electronic) Linking ISSN: 0284186X NLM ISO Abbreviation: Acta Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37712509 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Skarsø+ER%22">Skarsø ER</searchLink>; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical medicine, Aarhus University, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Refsgaard+L%22">Refsgaard L</searchLink>; Department of Clinical medicine, Aarhus University, Aarhus, Denmark.; Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Saini+A%22">Saini A</searchLink>; Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Næstved, Denmark.<br /><searchLink fieldCode="AU" term="%22Sloth+Møller+D%22">Sloth Møller D</searchLink>; Department of Clinical medicine, Aarhus University, Aarhus, Denmark.; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Lorenzen+EL%22">Lorenzen EL</searchLink>; Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Odense, Denmark.<br /><searchLink fieldCode="AU" term="%22Maae+E%22">Maae E</searchLink>; Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark, Vejle, Denmark.<br /><searchLink fieldCode="AU" term="%22Andersen+K%22">Andersen K</searchLink>; Department of Oncology, Herlev and Gentofte Hospital, Herlev, Denmark.<br /><searchLink fieldCode="AU" term="%22Maraldo+MV%22">Maraldo MV</searchLink>; Department of Clinical Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Milo+ML%22">Milo ML</searchLink>; Department of Oncology, Aalborg University Hospital, Aalborg, Denmark.<br /><searchLink fieldCode="AU" term="%22Nyeng+TB%22">Nyeng TB</searchLink>; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Vrou+Offersen+B%22">Vrou Offersen B</searchLink>; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical medicine, Aarhus University, Aarhus, Denmark.; Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark.; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Korreman+SS%22">Korreman SS</searchLink>; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical medicine, Aarhus University, Aarhus, Denmark.; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228709065%22">Acta oncologica (Stockholm, Sweden)</searchLink> [Acta Oncol] 2023 Oct; Vol. 62 (10), pp. 1201-1207. <i>Date of Electronic Publication: </i>2023 Sep 15. – 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="%22Medical+Journals+Sweden+AB%22">Medical Journals Sweden AB </searchLink><i>Country of Publication: </i>Sweden <i>NLM ID: </i>8709065 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1651-226X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220284186X%22">0284186X </searchLink><i>NLM ISO Abbreviation: </i>Acta Oncol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37712509 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/0284186X.2023.2252582 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1201 Titles: – TitleFull: Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Skarsø ER – PersonEntity: Name: NameFull: Refsgaard L – PersonEntity: Name: NameFull: Saini A – PersonEntity: Name: NameFull: Sloth Møller D – PersonEntity: Name: NameFull: Lorenzen EL – PersonEntity: Name: NameFull: Maae E – PersonEntity: Name: NameFull: Andersen K – PersonEntity: Name: NameFull: Maraldo MV – PersonEntity: Name: NameFull: Milo ML – PersonEntity: Name: NameFull: Nyeng TB – PersonEntity: Name: NameFull: Vrou Offersen B – PersonEntity: Name: NameFull: Korreman SS IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2023 Oct Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1651-226X Numbering: – Type: volume Value: 62 – Type: issue Value: 10 Titles: – TitleFull: Acta oncologica (Stockholm, Sweden) Type: main |
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