Reliability of Semi-Automated Segmentations in Glioblastoma

Purpose In glioblastoma, quantitative volumetric measurements of contrast-enhancing or fluid-attenuated inversion recovery (FLAIR) hyperintense tumor compartments are needed for an objective assessment of therapy response. The aim of this study was to evaluate the reliability of a semi-automated, re...

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Bibliographic Details
Published in:Clinical neuroradiology (Munich) 2017-06, Vol.27 (2), p.153-161
Main Authors: Huber, T, Alber, G, Bette, S, Boeckh-Behrens, T, Gempt, J, Ringel, F, Alberts, E, Zimmer, C, Bauer, J S
Format: Article
Language:English
Subjects:
Automation
Brain cancer
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - pathology
Diffusion Magnetic Resonance Imaging - methods
Female
Glioblastoma - diagnostic imaging
Glioblastoma - pathology
Glioblastoma multiforme
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Machine Learning
Male
Medical students
Medicine
Medicine & Public Health
Middle Aged
Neurology
Neuroradiology
Neurosurgery
Observer Variation
Original Article
Pattern Recognition, Automated - methods
Reproducibility of Results
Sensitivity and Specificity
Technology application
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