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Proactive Construct...
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Bivik Stadler, Caroline,1986-Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV
(author)
Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training
- Article/chapterEnglish2021
Publisher, publication year, extent ...
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2020-11-09
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Springer-Verlag New York,2021
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:liu-171711
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171711URI
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https://doi.org/10.1007/s10278-020-00384-4DOI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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Funding Agencies|Linkoping University; Visual Sweden [VS1702]
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Artificial intelligence (AI) holds much promise for enabling highly desired imaging diagnostics improvements. One of the most limiting bottlenecks for the development of useful clinical-grade AI models is the lack of training data. One aspect is the large amount of cases needed and another is the necessity of high-quality ground truth annotation. The aim of the project was to establish and describe the construction of a database with substantial amounts of detail-annotated oncology imaging data from pathology and radiology. A specific objective was to be proactive, that is, to support undefined subsequent AI training across a wide range of tasks, such as detection, quantification, segmentation, and classification, which puts particular focus on the quality and generality of the annotations. The main outcome of this project was the database as such, with a collection of labeled image data from breast, ovary, skin, colon, skeleton, and liver. In addition, this effort also served as an exploration of best practices for further scalability of high-quality image collections, and a main contribution of the study was generic lessons learned regarding how to successfully organize efforts to construct medical imaging databases for AI training, summarized as eight guiding principles covering team, process, and execution aspects.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
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Lindvall, MartinLinköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Sectra AB, Tekn Ringen 20, SE-58330 Linkoping, Sweden(Swepub:liu)marsv12
(author)
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Lundström, ClaesLinköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Sectra AB, Tekn Ringen 20, SE-58330 Linkoping, Sweden(Swepub:liu)clalu03
(author)
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Boden, AnnaLinköpings universitet,Avdelningen för neurobiologi,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Klinisk patologi(Swepub:liu)annbo88
(author)
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Lindman, KarinLinköpings universitet,Avdelningen för neurobiologi,Medicinska fakulteten,Region Östergötland, Klinisk patologi(Swepub:liu)karsk31
(author)
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Rose, JeronimoLinköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinska fakulteten(Swepub:liu)migfr29
(author)
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Treanor, DarrenLinköpings universitet,Avdelningen för inflammation och infektion,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Klinisk patologi,Leeds Teaching Hosp NHS Trust, England; Univ Leeds, England(Swepub:liu)dartr72
(author)
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Blomma, JohanRegion Östergötland, Röntgenkliniken i Linköping(Swepub:liu)n/a
(author)
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Stacke, KarinLinköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Sectra AB, Tekn Ringen 20, SE-58330 Linkoping, Sweden(Swepub:liu)karst38
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Pinchaud, NicolasContextVision AB, Sweden
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Hedlund, MartinContextVision AB, Sweden
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Landgren, FilipLinköpings universitet,Avdelningen för klinisk kemi,Medicinska fakulteten(Swepub:liu)filla89
(author)
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Woisetschläger, MischaLinköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Röntgenkliniken i Linköping(Swepub:liu)miswo94
(author)
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Forsberg, DanielSectra AB, Tekn Ringen 20, SE-58330 Linkoping, Sweden
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Linköpings universitetAvdelningen för diagnostik och specialistmedicin
(creator_code:org_t)
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In:Journal of digital imaging: Springer-Verlag New York34, s. 105-1150897-18891618-727X
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Boden, Anna
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