CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images.

Saved in:
Bibliographic Details
Title: CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images.
Authors: Javaheri T; Health Informatics Lab, Metropolitan College, Boston University, Boston, USA., Homayounfar M; Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran., Amoozgar Z; Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, USA., Reiazi R; Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.; Department of Medical Biophysics, University of Toronto, Toronto, Canada.; Department of Medical Physics, School of Medicine, Iran university of Medical Sciences, Tehran, Iran., Homayounieh F; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA., Abbas E; Joint Department of Medical Imaging, University of Toronto, Toronto, Canada., Laali A; Department of Infectious Diseases, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran., Radmard AR; Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran., Gharib MH; Department of Radiology and Golestan Rheumatology Research Center, Golestan University of Medical Sciences, Gorgan, Iran., Mousavi SAJ; Department of Internal Medicine, Iran University of Medical Sciences, Tehran, Iran., Ghaemi O; Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran., Babaei R; Department of Radiology, Iran University of Medical Sciences, Tehran, Iran., Mobin HK; Department of Radiology, Iran University of Medical Sciences, Tehran, Iran., Hosseinzadeh M; Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.; Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran., Jahanban-Esfahlan R; Department of Medical Biotechnology, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran., Seidi K; Department of Medical Biotechnology, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran., Kalra MK; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA., Zhang G; Health Informatics Lab, Metropolitan College, Boston University, Boston, USA.; Department of Computer Science, Metropolitan College, Boston University, Boston, USA., Chitkushev LT; Health Informatics Lab, Metropolitan College, Boston University, Boston, USA.; Department of Computer Science, Metropolitan College, Boston University, Boston, USA., Haibe-Kains B; Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.; Department of Medical Biophysics, University of Toronto, Toronto, Canada.; Department of Computer Science, University of Toronto, Toronto, ON, Canada.; Ontario Institute for Cancer Research, Toronto, ON, Canada.; Vector Institute for Artificial Intelligence, Toronto, ON, Canada., Malekzadeh R; Digestive Disease Research Center, Tehran University of Medical Sciences, Tehran, Iran., Rawassizadeh R; Health Informatics Lab, Metropolitan College, Boston University, Boston, USA. rezar@bu.edu.; Department of Computer Science, Metropolitan College, Boston University, Boston, USA. rezar@bu.edu.
Source: NPJ digital medicine [NPJ Digit Med] 2021 Feb 18; Vol. 4 (1), pp. 29. Date of Electronic Publication: 2021 Feb 18.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 33603193
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Javaheri+T%22">Javaheri T</searchLink>; Health Informatics Lab, Metropolitan College, Boston University, Boston, USA.<br /><searchLink fieldCode="AU" term="%22Homayounfar+M%22">Homayounfar M</searchLink>; Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Amoozgar+Z%22">Amoozgar Z</searchLink>; Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.<br /><searchLink fieldCode="AU" term="%22Reiazi+R%22">Reiazi R</searchLink>; Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.; Department of Medical Biophysics, University of Toronto, Toronto, Canada.; Department of Medical Physics, School of Medicine, Iran university of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Homayounieh+F%22">Homayounieh F</searchLink>; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.<br /><searchLink fieldCode="AU" term="%22Abbas+E%22">Abbas E</searchLink>; Joint Department of Medical Imaging, University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Laali+A%22">Laali A</searchLink>; Department of Infectious Diseases, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Radmard+AR%22">Radmard AR</searchLink>; Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Gharib+MH%22">Gharib MH</searchLink>; Department of Radiology and Golestan Rheumatology Research Center, Golestan University of Medical Sciences, Gorgan, Iran.<br /><searchLink fieldCode="AU" term="%22Mousavi+SAJ%22">Mousavi SAJ</searchLink>; Department of Internal Medicine, Iran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Ghaemi+O%22">Ghaemi O</searchLink>; Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Babaei+R%22">Babaei R</searchLink>; Department of Radiology, Iran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Mobin+HK%22">Mobin HK</searchLink>; Department of Radiology, Iran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Hosseinzadeh+M%22">Hosseinzadeh M</searchLink>; Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.; Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Jahanban-Esfahlan+R%22">Jahanban-Esfahlan R</searchLink>; Department of Medical Biotechnology, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.<br /><searchLink fieldCode="AU" term="%22Seidi+K%22">Seidi K</searchLink>; Department of Medical Biotechnology, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.<br /><searchLink fieldCode="AU" term="%22Kalra+MK%22">Kalra MK</searchLink>; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+G%22">Zhang G</searchLink>; Health Informatics Lab, Metropolitan College, Boston University, Boston, USA.; Department of Computer Science, Metropolitan College, Boston University, Boston, USA.<br /><searchLink fieldCode="AU" term="%22Chitkushev+LT%22">Chitkushev LT</searchLink>; Health Informatics Lab, Metropolitan College, Boston University, Boston, USA.; Department of Computer Science, Metropolitan College, Boston University, Boston, USA.<br /><searchLink fieldCode="AU" term="%22Haibe-Kains+B%22">Haibe-Kains B</searchLink>; Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.; Department of Medical Biophysics, University of Toronto, Toronto, Canada.; Department of Computer Science, University of Toronto, Toronto, ON, Canada.; Ontario Institute for Cancer Research, Toronto, ON, Canada.; Vector Institute for Artificial Intelligence, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Malekzadeh+R%22">Malekzadeh R</searchLink>; Digestive Disease Research Center, Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Rawassizadeh+R%22">Rawassizadeh R</searchLink>; Health Informatics Lab, Metropolitan College, Boston University, Boston, USA. rezar@bu.edu.; Department of Computer Science, Metropolitan College, Boston University, Boston, USA. rezar@bu.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101731738%22">NPJ digital medicine</searchLink> [NPJ Digit Med] 2021 Feb 18; Vol. 4 (1), pp. 29. <i>Date of Electronic Publication: </i>2021 Feb 18.
– 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="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101731738 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2398-6352 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223986352%22">23986352 </searchLink><i>NLM ISO Abbreviation: </i>NPJ Digit Med <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=33603193
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41746-021-00399-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 29
    Titles:
      – TitleFull: CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Javaheri T
      – PersonEntity:
          Name:
            NameFull: Homayounfar M
      – PersonEntity:
          Name:
            NameFull: Amoozgar Z
      – PersonEntity:
          Name:
            NameFull: Reiazi R
      – PersonEntity:
          Name:
            NameFull: Homayounieh F
      – PersonEntity:
          Name:
            NameFull: Abbas E
      – PersonEntity:
          Name:
            NameFull: Laali A
      – PersonEntity:
          Name:
            NameFull: Radmard AR
      – PersonEntity:
          Name:
            NameFull: Gharib MH
      – PersonEntity:
          Name:
            NameFull: Mousavi SAJ
      – PersonEntity:
          Name:
            NameFull: Ghaemi O
      – PersonEntity:
          Name:
            NameFull: Babaei R
      – PersonEntity:
          Name:
            NameFull: Mobin HK
      – PersonEntity:
          Name:
            NameFull: Hosseinzadeh M
      – PersonEntity:
          Name:
            NameFull: Jahanban-Esfahlan R
      – PersonEntity:
          Name:
            NameFull: Seidi K
      – PersonEntity:
          Name:
            NameFull: Kalra MK
      – PersonEntity:
          Name:
            NameFull: Zhang G
      – PersonEntity:
          Name:
            NameFull: Chitkushev LT
      – PersonEntity:
          Name:
            NameFull: Haibe-Kains B
      – PersonEntity:
          Name:
            NameFull: Malekzadeh R
      – PersonEntity:
          Name:
            NameFull: Rawassizadeh R
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 18
              M: 02
              Text: 2021 Feb 18
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-electronic
              Value: 2398-6352
          Numbering:
            – Type: volume
              Value: 4
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: NPJ digital medicine
              Type: main
ResultId 1