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

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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 - 2015

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@article{b45d2382780f4f6ca3ded06b1040c5d1,

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",

issn = "2329-4302",

publisher = "SPIE",

number = "2",

}

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 -