Direct image to subtype prediction for brain tumors using deep learning.

Saved in:
Bibliographic Details
Title: Direct image to subtype prediction for brain tumors using deep learning.
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 38106649
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1