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Denoising of Short Exposure Transmission Electron Microscopy Images using CNN
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.ORCID iD: 0000-0003-3557-4947
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Faculty of Technical Sciences, University of Novi Sad, Serbia.
Faculty of Technical Sciences, University of Novi Sad, Serbia.
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2018 (English)In: Swedish Symposium on Image Analysis, 2018Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
2018.
National Category
Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-367996OAI: oai:DiVA.org:uu-367996DiVA, id: diva2:1267378
Conference
SSBA2018, Stockholm, Sweden, March 2018
Available from: 2018-12-02 Created: 2018-12-02 Last updated: 2019-03-06Bibliographically approved

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Gupta, AnindyaSuveer, AmitLindblad, JoakimSladoje, NatasaSintorn, Ida-Maria

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Gupta, AnindyaSuveer, AmitLindblad, JoakimSladoje, NatasaSintorn, Ida-Maria
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