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Minimal Annotation Training for Segmentation of Microscopy 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, 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. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.ORCID iD: /0000-0002-8307-7411
2018 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2018. p. 387-390-
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-368701OAI: oai:DiVA.org:uu-368701DiVA, id: diva2:1268701
Conference
IEEE International Symposium on Biomedical Imaging (ISBI)
Available from: 2018-12-06 Created: 2018-12-06 Last updated: 2018-12-06

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Matuszewski, Damian J.Sintorn, Ida-Maria

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