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TissueWand, a rapid...
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Lindvall, MartinLinköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Sectra AB
(author)
TissueWand, a rapid histopathology annotation tool
- Article/chapterEnglish2020
Publisher, publication year, extent ...
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Medknow Publications,2020
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:liu-168487
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168487URI
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https://doi.org/10.4103/jpi.jpi_5_20DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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Background: Recent advancements in machine learning (ML) bring great possibilities for the development of tools to assist with diagnostic tasks within histopathology. However, these approaches typically require a large amount of ground truth training data in the form of image annotations made by human experts. As such annotation work is a very time-consuming task, there is a great need for tools that can assist in this process, saving time while not sacrificing annotation quality. Methods: In an iterative design process, we developed TissueWand – an interactive tool designed for efficient annotation of gigapixel-sized histopathological images, not being constrained to a predefined annotation task. Results: Several findings regarding appropriate interaction concepts were made, where a key design component was semi-automation based on rapid interaction feedback in a local region. In a user study, the resulting tool was shown to cause substantial speed-up compared to manual work while maintaining quality. Conclusions: The TissueWand tool shows promise to replace manual methods for early stages of dataset curation where no task-specific ML model yet exists to aid the effort.
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Sanner, AlexanderSectra AB, Research Department, Linköping, Sweden
(author)
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Petré, FredrikSectra AB, Research Department, Linköping, Sweden
(author)
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Lindman, Karin,1980-Linköpings universitet,Avdelningen för neurobiologi,Medicinska fakulteten,Region Östergötland, Klinisk patologi(Swepub:liu)karsk31
(author)
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Treanor, Darren,1974-Linköpings universitet,Avdelningen för inflammation och infektion,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Klinisk patologi,University of Leeds, Leeds, UK(Swepub:liu)dartr72
(author)
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Lundström, Claes,1973-Linköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Sectra AB(Swepub:liu)clalu03
(author)
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Löwgren, Jonas,1964-Linköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten(Swepub:liu)jonlo66
(author)
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Linköpings universitetMedie- och Informationsteknik
(creator_code:org_t)
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In:Journal of Pathology Informatics: Medknow Publications11:272229-50892153-3539
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Lindvall, Martin
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Sanner, Alexande ...
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Petré, Fredrik
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Linköping University