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Estimation of trabecular thickness in grayscale: an in vivo study
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH).ORCID iD: 0000-0001-6297-487x
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: 2022-12-05Bibliographically approved

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Platten, MichaelChowdhury, ManishSmedby, ÖrjanMoreno, Rodrigo

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School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH)Medical Image Processing and VisualizationMedical Imaging
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