Accurate quantification of glioma on MRI

M. Visser

Accurate quantification of glioma on MRI

M. Visser

Research output: PhD Thesis › PhD-Thesis - Research and graduation internal

1244 Downloads (Pure)

Original language	English
Qualification	PhD
Awarding Institution	Vrije Universiteit Amsterdam
Supervisors/Advisors	Barkhof, F., Supervisor, - de Munck, J.C., Co-supervisor de Witt Hamer, P.C., Co-supervisor, -
Award date	25 Sept 2020
Publication status	Published - 2020

Keywords

glioma
MRI
manual segmentation
inter-rater agreement
automatic segmentation
linear image registration
non-linear image registration

Access to Document

coverFinal published version, 535 KB
title pageFinal published version, 35.8 KB
abstract dutchFinal published version, 75.5 KB
abstract englishFinal published version, 73 KB
table of contentsFinal published version, 12.2 KB
complete dissertationFinal published version, 4.17 MB

Persistent URL (handle)

Copy link address

Cite this

@phdthesis{37f10b64151845678014f1bd0d298134,

title = "Accurate quantification of glioma on MRI",

keywords = "glioma, MRI, manual segmentation, inter-rater agreement, automatic segmentation, linear image registration, non-linear image registration",

author = "M. Visser",

year = "2020",

language = "English",

series = "Dissertations / Brain Tumor Center Amsterdam",

type = "PhD-Thesis - Research and graduation internal",

school = "Vrije Universiteit Amsterdam",

}