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Workshop report: Bioinformatics meets digital pathology
Poster Title: Workshop report: Bioinformatics meets digital pathology
Submitted on 12 Dec 2016
Author(s): Yves Sucaet, David Ameisen, Zev Leifer, Raphaël Marée, Marius Nap, Jeroen Van der Laak, Paul Van Diest, Yukako Yagi
Affiliations: Vrije Universiteit Brussel (Belgium), UMC Radboud (Netherlands), HistoGeneX (Belgium), Rigshospitalet Copenhagen (Denmark), New York College of Podiatric Medicine (USA), Harvard Medical School & Massachusetts General Hospital (USA), Université de Liège (Belgium), IRIF CNRS and Université Paris Diderot (France), UMC Utrecht (Netherlands)
This poster was presented at DPA Digital Pathology Association "Pathology Visions" 2016
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Poster Information
Abstract: A oneday workshop was organized for the first time in the context of a major bioinformatics meeting (ECCB 2016) in Den Hague on September 3, 2016. Keynote speakers were Jeffrey Fine and Jeroen Van der Laak. Contributions to the workshop were accepted in the form of poster abstract, short oral talks, and conference proceeding papers. Results: The workshop consisted of keynotes, short oral talks, a poster session, and several networking opportunities throughout the day. This effectively facilitated bridging opportunities between the bioinformatics and tissue image analysis communities. Conclusions: Automated analysis of such largescale datasets is challenging and their combination with omics data is not trivial. Our workshop wants to address two emerging opportunities: 1) There are real problems in (digital) microscopy today that deserve their attention and are at least as (if not more) interesting than the NGS and *seq stuff that people working on today. 2) Digital microscopy in its own right offers a new layer of data that can be added to and mixed with their current levels of *omicsdatasets, and help them gain new insights into projects that they're already working on.Summary: Pathologists are the guardians of large quantities of high-resolution
imaging material, that is barely noticed by bioinformatics today. Yet this (annotated) material can be of huge contributing value to any research project, as pathology preserves topological tissue features, and can help explain difficult phenomena such as tumor heterogeneity. The goal is then to bridge research methods and materials from the bioinformatics community with the (digital) pathology community.
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