View in EDS HTML Full Text PDF Full Text

Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features.

Saved in:
Bibliographic Details
Title: Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features.
Authors: Juppet Q; Biomedical Imaging Group, School of Engineering, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.; EPFL Center for Imaging, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., De Martino F; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., Marcandalli E; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., Weigert M; Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., Burri O; BioImaging & Optics Platform, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., Unser M; Biomedical Imaging Group, School of Engineering, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., Brisken C; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland. cathrin.brisken@epfl.ch., Sage D; Biomedical Imaging Group, School of Engineering, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland. daniel.sage@epfl.ch.; EPFL Center for Imaging, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland. daniel.sage@epfl.ch.
Source: Journal of mammary gland biology and neoplasia [J Mammary Gland Biol Neoplasia] 2021 Jun; Vol. 26 (2), pp. 101-112. Date of Electronic Publication: 2021 May 17.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 9601804 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7039 (Electronic) Linking ISSN: 10833021 NLM ISO Abbreviation: J Mammary Gland Biol Neoplasia 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: 33999331
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Juppet+Q%22">Juppet Q</searchLink>; Biomedical Imaging Group, School of Engineering, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.; EPFL Center for Imaging, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22De+Martino+F%22">De Martino F</searchLink>; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Marcandalli+E%22">Marcandalli E</searchLink>; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Weigert+M%22">Weigert M</searchLink>; Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Burri+O%22">Burri O</searchLink>; BioImaging & Optics Platform, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Unser+M%22">Unser M</searchLink>; Biomedical Imaging Group, School of Engineering, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Brisken+C%22">Brisken C</searchLink>; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland. cathrin.brisken@epfl.ch.<br /><searchLink fieldCode="AU" term="%22Sage+D%22">Sage D</searchLink>; Biomedical Imaging Group, School of Engineering, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland. daniel.sage@epfl.ch.; EPFL Center for Imaging, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland. daniel.sage@epfl.ch.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229601804%22">Journal of mammary gland biology and neoplasia</searchLink> [J Mammary Gland Biol Neoplasia] 2021 Jun; Vol. 26 (2), pp. 101-112. <i>Date of Electronic Publication: </i>2021 May 17.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Kluwer+Academic%2FPlenum+Publishers%22">Kluwer Academic/Plenum Publishers </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9601804 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-7039 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210833021%22">10833021 </searchLink><i>NLM ISO Abbreviation: </i>J Mammary Gland Biol Neoplasia <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=33999331
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10911-021-09485-4
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 101
    Titles:
      – TitleFull: Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Juppet Q
      – PersonEntity:
          Name:
            NameFull: De Martino F
      – PersonEntity:
          Name:
            NameFull: Marcandalli E
      – PersonEntity:
          Name:
            NameFull: Weigert M
      – PersonEntity:
          Name:
            NameFull: Burri O
      – PersonEntity:
          Name:
            NameFull: Unser M
      – PersonEntity:
          Name:
            NameFull: Brisken C
      – PersonEntity:
          Name:
            NameFull: Sage D
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2021 Jun
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-electronic
              Value: 1573-7039
          Numbering:
            – Type: volume
              Value: 26
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of mammary gland biology and neoplasia
              Type: main
ResultId 1