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A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification

Lecture notes in computer science, pp. 68–87

Authors 9

  1. Georg Wölflein corresponding

    University of St Andrews · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden

    Affiliation as printed

    EKFZ for Digital Health, TU Dresden, Dresden, Germany

    University of St Andrews, St Andrews, UK

  2. Heidelberg University · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden

    Affiliation as printed

    EKFZ for Digital Health, TU Dresden, Dresden, Germany

    University of Heidelberg, Heidelberg, Germany

  3. Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden

    Affiliation as printed

    EKFZ for Digital Health, TU Dresden, Dresden, Germany

  4. Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden

    Affiliation as printed

    EKFZ for Digital Health, TU Dresden, Dresden, Germany

  5. Daniel Truhn Aachen

    Universitätsklinikum Aachen

    Affiliation as printed

    University Hospital Aachen, Aachen, Germany

  6. Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden

    Affiliation as printed

    EKFZ for Digital Health, TU Dresden, Dresden, Germany

  7. NHS Lothian · University of St Andrews

    Affiliation as printed

    Lothian NHS University Hospitals, Edinburgh, UK

    University of St Andrews, St Andrews, UK

  8. University of St Andrews

    Affiliation as printed

    University of St Andrews, St Andrews, UK

  9. Heidelberg University · University Hospital Carl Gustav Carus · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden

    Affiliation as printed

    EKFZ for Digital Health, TU Dresden, Dresden, Germany

    University Hospital Dresden, Dresden, Germany

    University of Heidelberg, Heidelberg, Germany

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References 67