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
Estimation of trabecular thickness in grayscale: an in vivo study
KTH.
KTH, School of Technology and Health (STH), Medical Engineering, Medical Image Processing and Visualization.
KTH, School of Technology and Health (STH), Medical Engineering, Medical Imaging.ORCID iD: 0000-0002-7750-1917
KTH, School of Technology and Health (STH), Medical Engineering, Medical Imaging.ORCID iD: 0000-0001-5765-2964
2017 (English)In: ESSR 2017 / P-0196, 2017Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
2017.
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-259763DOI: 10.1594/essr2017/P-0196OAI: oai:DiVA.org:kth-259763DiVA, id: diva2:1353467
Conference
European Society of Musculoskeletal Radiology, Annual Scientific Meeting, ESSR 2017
Note

QC 20191011

Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-10-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Chowdhury, ManishSmedby, ÖrjanMoreno, Rodrigo

Search in DiVA

By author/editor
Platten, MichaelChowdhury, ManishSmedby, ÖrjanMoreno, Rodrigo
By organisation
KTHMedical Image Processing and VisualizationMedical Imaging
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 23 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