View in EDS HTML Full Text PDF Full Text

SVPath: A Deep Learning Tool for Analysis of Stria Vascularis from Histology Slides.

Saved in:
Bibliographic Details
Title: SVPath: A Deep Learning Tool for Analysis of Stria Vascularis from Histology Slides.
Authors: Jain A; College of Medicine, University of Cincinnati, 231 Albert Sabin Way, Cincinnati, OH, 45267, USA. jain2ae@mail.uc.edu., Perdomo D; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Nagururu N; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Li JA; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Ward BK; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Lauer AM; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Creighton FX; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Source: Journal of the Association for Research in Otolaryngology : JARO [J Assoc Res Otolaryngol] 2024 Aug; Vol. 25 (4), pp. 1-8. Date of Electronic Publication: 2024 May 17.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag New York Inc Country of Publication: United States NLM ID: 100892857 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1438-7573 (Electronic) Linking ISSN: 14387573 NLM ISO Abbreviation: J Assoc Res Otolaryngol Subsets: 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: 38760547
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: SVPath: A Deep Learning Tool for Analysis of Stria Vascularis from Histology Slides.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Jain+A%22">Jain A</searchLink>; College of Medicine, University of Cincinnati, 231 Albert Sabin Way, Cincinnati, OH, 45267, USA. jain2ae@mail.uc.edu.<br /><searchLink fieldCode="AU" term="%22Perdomo+D%22">Perdomo D</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Nagururu+N%22">Nagururu N</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Li+JA%22">Li JA</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Ward+BK%22">Ward BK</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Lauer+AM%22">Lauer AM</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Creighton+FX%22">Creighton FX</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22100892857%22">Journal of the Association for Research in Otolaryngology : JARO</searchLink> [J Assoc Res Otolaryngol] 2024 Aug; Vol. 25 (4), pp. 1-8. <i>Date of Electronic Publication: </i>2024 May 17.
– 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="%22Springer-Verlag+New+York+Inc%22">Springer-Verlag New York Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100892857 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1438-7573 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214387573%22">14387573 </searchLink><i>NLM ISO Abbreviation: </i>J Assoc Res Otolaryngol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38760547
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10162-024-00948-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1
    Titles:
      – TitleFull: SVPath: A Deep Learning Tool for Analysis of Stria Vascularis from Histology Slides.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jain A
      – PersonEntity:
          Name:
            NameFull: Perdomo D
      – PersonEntity:
          Name:
            NameFull: Nagururu N
      – PersonEntity:
          Name:
            NameFull: Li JA
      – PersonEntity:
          Name:
            NameFull: Ward BK
      – PersonEntity:
          Name:
            NameFull: Lauer AM
      – PersonEntity:
          Name:
            NameFull: Creighton FX
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: 2024 Aug
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1438-7573
          Numbering:
            – Type: volume
              Value: 25
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Journal of the Association for Research in Otolaryngology : JARO
              Type: main
ResultId 1