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  4. Digital Pathology – New Approaches to the Automated Image Analysis of Histologic Slides

Digital Pathology – New Approaches to the Automated Image Analysis of Histologic Slides

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  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users

Digital Pathology – New Approaches to the Automated Image Analysis of Histologic Slides

Digital Pathology - New Approaches to the Automated Image Analysis of Histologic Slides

(Own Funds)

Overall project:
Project leader: Andreas Maier, Marc Aubreville
Project members: Samir Jabari, Christian Marzahl
Start date: January 16, 2017
End date:
Acronym:
Funding source:
URL:

Abstract

The pathologist is still the gold standard in the diagnosis of diseases in tissue slides. Due to its human nature, the pathologist is on one side able to flexibly adapt to the high morphological and technical variability of histologic slides but of limited objectivity due to cognitive and visual traps.

In diverse project we are applying and validating currently available tools and solutions in digital pathology but are also developing new solution in automated image analysis to complement and improve the pathologist especially in areas of quantitative image analysis.

Publications

  • Aubreville M., Bertram CA., Klopfleisch R., Maier A.:
    Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks
    BIOSTEC/BIOIMAGING 2019 (Prague, February 22, 2019 - February 24, 2019)
    In: SciTePress (ed.): Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING 2019
    DOI: 10.5220/0007365700300037
    URL: http://www.scitepress.org/PublicationsDetail.aspx?ID=t/vdV3xX7x0=&t=1
    BibTeX: Download
  • Bertram CA., Aubreville M., Marzahl C., Maier A., Klopfleisch R.:
    A large-scale dataset for mitotic figure assessment on whole slide images of canine cutaneous mast cell tumor
    In: Scientific Data 6 (2019), p. 1-9
    ISSN: 2052-4463
    DOI: 10.1038/s41597-019-0290-4
    URL: https://www.nature.com/articles/s41597-019-0290-4.pdf
    BibTeX: Download
  • Aubreville M., Krappmann M., Bertram C., Klopfleisch R., Maier A.:
    A Guided Spatial Transformer Network for Histology Cell Differentiation
    Eurographics Workshop on Visual Computing for Biology and Medicine (Bremen, September 7, 2017 - September 8, 2017)
    In: Stefan Bruckner, Anja Hennemuth, Bernhard Kainz, Ingrid Hotz, Dorit Merhof and Christian Rieder (ed.): Eurographics Workshop on Visual Computing for Biology and Medicine 2017
    DOI: 10.2312/vcbm.20171233
    URL: https://arxiv.org/pdf/1707.08525.pdf
    BibTeX: Download
  • Aubreville M., Bertram CA., Klopfleisch R., Maier A.:
    SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images
    Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
    In: Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen 2018
    DOI: 10.1007/978-3-662-56537-7_81
    URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Aubreville18-S-A.pdf
    BibTeX: Download
  • Krappmann M., Aubreville M., Bertram CA., Klopfleisch R., Maier A.:
    Classification of Mitotic Cells - Potentials Beyond the Limits of Small Data Sets
    Bildverarbeitung für die Medizin 2018 (Erlangen, Germany, March 11, 2018 - March 13, 2018)
    In: Bildverarbeitung für die Medizin 2018. Informatik aktuell, Berlin, Heidelberg: 2018
    DOI: 10.1007/978-3-662-56537-7_66
    URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Krappmann18-COM.pdf
    BibTeX: Download

Videos

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A Large-Scale Mitotic Figure Dataset on Whole Slide Images (Scientific Data 6:274)
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3 cool things you can do with a big histology dataset
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Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment
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Friedrich-Alexander-Universität Erlangen-Nürnberg
Lehrstuhl für Mustererkennung (Informatik 5)

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91058 Erlangen
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