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

56 Citations (Scopus)

181 Downloads (Pure)

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 - 1 Apr 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

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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",

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

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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

C2 - 26158096

SN - 2329-4302

VL - 2

JO - Journal of Medical Imaging

JF - Journal of Medical Imaging

IS - 2

M1 - 024001

ER -

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

Keywords

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