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

Datalogisk Institut

56 Citationer (Scopus)

181 Downloads (Pure)

Originalsprog	Engelsk
Artikelnummer	024001
Tidsskrift	SPIE Journal of Medical Imaging
Vol/bind	2
Udgave nummer	2
Antal sider	13
ISSN	2329-4302
DOI	https://doi.org/10.1117/1.JMI.2.2.024001
Status	Udgivet - 1 apr. 2015

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10.1117/1.JMI.2.2.024001Licens: CC BY

Dam_2015_Automatic_segmentationForlagets udgivne version, 1,46 MBLicens: CC BY

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

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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 - 2015/4/1

Y1 - 2015/4/1

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

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JO - Journal of Medical Imaging

JF - Journal of Medical Imaging

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M1 - 024001

ER -

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

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