Direct image to subtype prediction for brain tumors using deep learning.
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| Title: | Direct image to subtype prediction for brain tumors using deep learning. |
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| Authors: | Hewitt KJ; Department of Medicine III, University Hospital RWTH Aachen, Aachen, North Rhine-Westphalia, Germany.; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany., Löffler CML; Department of Medicine III, University Hospital RWTH Aachen, Aachen, North Rhine-Westphalia, Germany.; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Saxony, Germany., Muti HS; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.; Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Dresden, Saxony, Germany., Berghoff AS; Department of Medicine 1, Division of Oncology, Medical University of Vienna, Vienna, Vienna, Austria., Eisenlöffel C; Department of Pathology, St. Georg Teaching Hospital, University of Leipzig, Leipzig, Saxony, Germany., van Treeck M; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany., Carrero ZI; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany., El Nahhas OSM; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany., Veldhuizen GP; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany., Weil S; Neurology Clinic, Department of Neurology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Baden- Württemberg, Germany.; Clinical Cooperation Unit Neuro-oncology, Department of Neurology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Baden- Württemberg, Germany., Saldanha OL; Department of Medicine III, University Hospital RWTH Aachen, Aachen, North Rhine-Westphalia, Germany., Bejan L; School of Medicine, Faculty of Medicine and Dentistry, University College London, London, Greater London, UK., Millner TO; Division of Neuropathology, Queen Square Institute of Neurology, University College London, London, Greater London, UK.; Blizard Institute, Faculty of Medicine and Dentistry, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, Greater London, UK., Brandner S; Division of Neuropathology, Queen Square Institute of Neurology, University College London, London, Greater London, UK., Brückmann S; Institut für Pathologie, University Hospital Carl Gustav Carus, Dresden, Saxony, Germany., Kather JN; Department of Medicine III, University Hospital RWTH Aachen, Aachen, North Rhine-Westphalia, Germany.; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Saxony, Germany.; Pathology & Data Analytics, Faculty of Medicine and Health, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, West Yorkshire, UK.; Department of Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Baden- Württemberg, Germany. |
| Source: | Neuro-oncology advances [Neurooncol Adv] 2023 Nov 01; Vol. 5 (1), pp. vdad139. Date of Electronic Publication: 2023 Nov 01 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 101755003 Publication Model: eCollection Cited Medium: Internet ISSN: 2632-2498 (Electronic) Linking ISSN: 26322498 NLM ISO Abbreviation: Neurooncol Adv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38106649 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Direct image to subtype prediction for brain tumors using deep learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hewitt+KJ%22">Hewitt KJ</searchLink>; Department of Medicine III, University Hospital RWTH Aachen, Aachen, North Rhine-Westphalia, Germany.; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.<br /><searchLink fieldCode="AU" term="%22Löffler+CML%22">Löffler CML</searchLink>; Department of Medicine III, University Hospital RWTH Aachen, Aachen, North Rhine-Westphalia, Germany.; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Saxony, Germany.<br /><searchLink fieldCode="AU" term="%22Muti+HS%22">Muti HS</searchLink>; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.; Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Dresden, Saxony, Germany.<br /><searchLink fieldCode="AU" term="%22Berghoff+AS%22">Berghoff AS</searchLink>; Department of Medicine 1, Division of Oncology, Medical University of Vienna, Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Eisenlöffel+C%22">Eisenlöffel C</searchLink>; Department of Pathology, St. Georg Teaching Hospital, University of Leipzig, Leipzig, Saxony, Germany.<br /><searchLink fieldCode="AU" term="%22van+Treeck+M%22">van Treeck M</searchLink>; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.<br /><searchLink fieldCode="AU" term="%22Carrero+ZI%22">Carrero ZI</searchLink>; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.<br /><searchLink fieldCode="AU" term="%22El+Nahhas+OSM%22">El Nahhas OSM</searchLink>; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.<br /><searchLink fieldCode="AU" term="%22Veldhuizen+GP%22">Veldhuizen GP</searchLink>; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.<br /><searchLink fieldCode="AU" term="%22Weil+S%22">Weil S</searchLink>; Neurology Clinic, Department of Neurology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Baden- Württemberg, Germany.; Clinical Cooperation Unit Neuro-oncology, Department of Neurology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Baden- Württemberg, Germany.<br /><searchLink fieldCode="AU" term="%22Saldanha+OL%22">Saldanha OL</searchLink>; Department of Medicine III, University Hospital RWTH Aachen, Aachen, North Rhine-Westphalia, Germany.<br /><searchLink fieldCode="AU" term="%22Bejan+L%22">Bejan L</searchLink>; School of Medicine, Faculty of Medicine and Dentistry, University College London, London, Greater London, UK.<br /><searchLink fieldCode="AU" term="%22Millner+TO%22">Millner TO</searchLink>; Division of Neuropathology, Queen Square Institute of Neurology, University College London, London, Greater London, UK.; Blizard Institute, Faculty of Medicine and Dentistry, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, Greater London, UK.<br /><searchLink fieldCode="AU" term="%22Brandner+S%22">Brandner S</searchLink>; Division of Neuropathology, Queen Square Institute of Neurology, University College London, London, Greater London, UK.<br /><searchLink fieldCode="AU" term="%22Brückmann+S%22">Brückmann S</searchLink>; Institut für Pathologie, University Hospital Carl Gustav Carus, Dresden, Saxony, Germany.<br /><searchLink fieldCode="AU" term="%22Kather+JN%22">Kather JN</searchLink>; Department of Medicine III, University Hospital RWTH Aachen, Aachen, North Rhine-Westphalia, Germany.; Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Saxony, Germany.; Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Saxony, Germany.; Pathology & Data Analytics, Faculty of Medicine and Health, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, West Yorkshire, UK.; Department of Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Baden- Württemberg, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101755003%22">Neuro-oncology advances</searchLink> [Neurooncol Adv] 2023 Nov 01; Vol. 5 (1), pp. vdad139. <i>Date of Electronic Publication: </i>2023 Nov 01 (<i>Print Publication: </i>2023). – 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="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101755003 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2632-2498 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226322498%22">26322498 </searchLink><i>NLM ISO Abbreviation: </i>Neurooncol Adv <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38106649 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/noajnl/vdad139 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: vdad139 Titles: – TitleFull: Direct image to subtype prediction for brain tumors using deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hewitt KJ – PersonEntity: Name: NameFull: Löffler CML – PersonEntity: Name: NameFull: Muti HS – PersonEntity: Name: NameFull: Berghoff AS – PersonEntity: Name: NameFull: Eisenlöffel C – PersonEntity: Name: NameFull: van Treeck M – PersonEntity: Name: NameFull: Carrero ZI – PersonEntity: Name: NameFull: El Nahhas OSM – PersonEntity: Name: NameFull: Veldhuizen GP – PersonEntity: Name: NameFull: Weil S – PersonEntity: Name: NameFull: Saldanha OL – PersonEntity: Name: NameFull: Bejan L – PersonEntity: Name: NameFull: Millner TO – PersonEntity: Name: NameFull: Brandner S – PersonEntity: Name: NameFull: Brückmann S – PersonEntity: Name: NameFull: Kather JN IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2023 Nov 01 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 2632-2498 Numbering: – Type: volume Value: 5 – Type: issue Value: 1 Titles: – TitleFull: Neuro-oncology advances Type: main |
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