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Deep Learning to Enhance Fluorescent Signals in Live Cell Imaging
Forsgren, Edvin
Umeå University, Faculty of Science and Technology, Department of Physics.
ORCID iD:
0000-0002-1898-4453
2020 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2020.
National Category
Medical Image Processing
Identifiers
URN:
urn:nbn:se:umu:diva-175328
OAI: oai:DiVA.org:umu-175328
DiVA, id:
diva2:1470654
External cooperation
Sartorius Stedim Data Analytics AB
Subject / course
Examensarbete i teknisk fysik
Educational program
Master of Science Programme in Engineering Physics
Supervisors
Norenius, Linus, Doktorand
Umeå University, Faculty of Science and Technology, Department of Physics.
Examiners
Wadbro, Eddie, Universitetslektor
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Available from:
2020-09-30
Created:
2020-09-25
Last updated:
2024-07-02
Bibliographically approved
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fulltext
(7996 kB)
335 downloads
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FULLTEXT01.pdf
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7996 kB
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SHA-512
e1e918c04b457e97aeeda8819c03a03ff931ce377911a37a69c31bdad0db9fc3c8f717c5c34769569f70a5c0a2ff945f868c14e9e2c7d1233c443e00b9a77f1e
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Forsgren, Edvin
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Total: 335 downloads
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https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-175328
Direct link
http://umu.diva-portal.org/smash/record.jsf?pid=diva2:1470654
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
Other style
More styles
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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de-DE
en-GB
en-US
fi-FI
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nn-NB
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text
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text
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