Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Multi-label prediction of subcellular localization in confocal images using deep neural networks
KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).
KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.ORCID iD: 0000-0001-7034-0850
2016 (English)In: Molecular Biology of the Cell, ISSN 1059-1524, E-ISSN 1939-4586, Vol. 27Article in journal (Refereed) Published
Place, publisher, year, edition, pages
AMER SOC CELL BIOLOGY , 2016. Vol. 27
National Category
Cell Biology
Identifiers
URN: urn:nbn:se:kth:diva-205183ISI: 000396047100542OAI: oai:DiVA.org:kth-205183DiVA: diva2:1087739
Conference
Annual Meeting of the American-Society-for-Cell-Biology (ASCB), DEC 03-07, 2016, San Francisco, CA
Note

QC 20170410

Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2017-04-10Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Sullivan, D. P.Smith, KevinLundberg, Emma
By organisation
Proteomics and NanobiotechnologyComputational Science and Technology (CST)
In the same journal
Molecular Biology of the Cell
Cell Biology

Search outside of DiVA

GoogleGoogle Scholar

Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf