Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative

Erik Bjørnager Dam; Martin Lillholm; Joselene Marques; Mads Nielsen

doi:10.1117/1.JMI.2.2.024001

Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative

Erik Bjørnager Dam, Martin Lillholm, Joselene Marques, Mads Nielsen

Department of Computer Science

Research output: Contribution to journal › Journal article › Research › peer-review

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Original language	English
Article number	024001
Journal	SPIE Journal of Medical Imaging
Volume	2
Issue number	2
Number of pages	13
ISSN	2329-4302
DOIs	https://doi.org/10.1117/1.JMI.2.2.024001
Publication status	Published - 2015

Keywords

osteoarthritis
MRI
knee
segmentation

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10.1117/1.JMI.2.2.024001Licence: CC BY

Dam_2015_Automatic_segmentationFinal published version, 1.46 MBLicence: CC BY

Cite this

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title = "Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative",

keywords = "osteoarthritis, MRI, knee, segmentation",

author = "Dam, {Erik Bj{\o}rnager} and Martin Lillholm and Joselene Marques and Mads Nielsen",

year = "2015",

doi = "10.1117/1.JMI.2.2.024001",

language = "English",

volume = "2",

journal = "Journal of Medical Imaging",

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publisher = "SPIE",

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TY - JOUR

T1 - Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative

AU - Dam, Erik Bjørnager

AU - Lillholm, Martin

AU - Marques, Joselene

AU - Nielsen, Mads

PY - 2015

Y1 - 2015

KW - osteoarthritis

KW - MRI

KW - knee

KW - segmentation

U2 - 10.1117/1.JMI.2.2.024001

DO - 10.1117/1.JMI.2.2.024001

M3 - Journal article

C2 - 26158096

VL - 2

JO - Journal of Medical Imaging

JF - Journal of Medical Imaging

SN - 2329-4302

IS - 2

M1 - 024001

ER -