View in EDS HTML Full Text PDF Full Text

Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical way.

Saved in:
Bibliographic Details
Title: Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical way.
Authors: Armato, Samuel G.1 (AUTHOR) s-armato@uchicago.edu, Farahani, Keyvan2 (AUTHOR) farahani@nih.gov, Zaidi, Habib (AUTHOR)
Source: Medical Physics. Jun2020, Vol. 47 Issue 6, p2325-2328. 4p.
Subjects: Image analysis, Scientific literature, Convolutional neural networks, Pattern recognition systems
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 144424818
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical way.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Armato%2C+Samuel+G%2E%22">Armato, Samuel G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> s-armato@uchicago.edu</i><br /><searchLink fieldCode="AR" term="%22Farahani%2C+Keyvan%22">Farahani, Keyvan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> farahani@nih.gov</i><br /><searchLink fieldCode="AR" term="%22Zaidi%2C+Habib%22">Zaidi, Habib</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Jun2020, Vol. 47 Issue 6, p2325-2328. 4p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+literature%22">Scientific literature</searchLink><br /><searchLink fieldCode="DE" term="%22Convolutional+neural+networks%22">Convolutional neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+recognition+systems%22">Pattern recognition systems</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=144424818
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/mp.14081
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 4
        StartPage: 2325
    Subjects:
      – SubjectFull: Image analysis
        Type: general
      – SubjectFull: Scientific literature
        Type: general
      – SubjectFull: Convolutional neural networks
        Type: general
      – SubjectFull: Pattern recognition systems
        Type: general
    Titles:
      – TitleFull: Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical way.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Armato, Samuel G.
      – PersonEntity:
          Name:
            NameFull: Farahani, Keyvan
      – PersonEntity:
          Name:
            NameFull: Zaidi, Habib
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2020
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 00942405
          Numbering:
            – Type: volume
              Value: 47
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Medical Physics
              Type: main
ResultId 1