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Feature Augmented Deep Neural Networks for Segmentation of Cells
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, Science for Life Laboratory, SciLifeLab.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.ORCID iD: 0000-0002-4139-7003
2016 (English)In: Computer Vision – ECCV 2016 WorkshopsVolume 9913 of the series Lecture Notes in Computer Science / [ed] Hua, Gang; Jégou, Hervé, Amsterdam, The Netherlands: Springer International Publishing , 2016, 231-243 p.Chapter in book (Refereed)
Place, publisher, year, edition, pages
Amsterdam, The Netherlands: Springer International Publishing , 2016. 231-243 p.
Series
, Lecture Notes in Computer Science, ISSN isbn 978-3-319-46604-0 ; 9913
National Category
Other Computer and Information Science
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-306914DOI: 10.1007/978-3-319-46604-0_17ISBN: 978-3-319-46604-0OAI: oai:DiVA.org:uu-306914DiVA: diva2:1044730
Funder
Swedish Research Council, 2012-4968
Available from: 2016-11-05 Created: 2016-11-05 Last updated: 2016-11-05

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Publisher's full texthttp://dx.doi.org/10.1007/978-3-319-46604-0_17

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