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Convolutional neural networks for false positive reduction of automatically detected cilia in low magnification TEM images
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Clinical and experimental pathology.ORCID iD: 0000-0003-2777-8114
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2017 (English)In: Image Analysis: Part I, Springer, 2017, 407-418 p.Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2017. 407-418 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10269
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-334218DOI: 10.1007/978-3-319-59126-1_34ISBN: 978-3-319-59125-4 (print)OAI: oai:DiVA.org:uu-334218DiVA: diva2:1159082
Conference
SCIA 2017, June 12–14, Tromsø, Norway
Funder
VINNOVA, 2016-02329
Available from: 2017-05-19 Created: 2017-11-21 Last updated: 2017-12-09Bibliographically approved

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Suveer, AmitLindblad, JoakimDragomir, AncaSintorn, Ida-Maria

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Suveer, AmitLindblad, JoakimDragomir, AncaSintorn, Ida-MariaSladoje, Nataša
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Division of Visual Information and InteractionComputerized Image Analysis and Human-Computer InteractionClinical and experimental pathology
Computer Vision and Robotics (Autonomous Systems)

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