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2015 | OriginalPaper | Chapter

On the Evaluation of Automated MRI Brain Segmentations: Technical and Conceptual Tools

Authors : Elisabetta Binaghi, Valentina Pedoia, Desiree Lattanzi, Emanuele Monti, Sergio Balbi, Renzo Minotto

Published in: Developments in Medical Image Processing and Computational Vision

Publisher: Springer International Publishing

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Abstract

The present work deals with segmentation of Glial Tumors in MRI images focusing on critical aspects in manual labeling and reference estimation for segmentation validation purposes. A reproducibility analysis was conducted confirming the presence of different sources of uncertainty involved in the process of manual segmentation and responsible of high intra-operator and inter-operator variability. Technical and conceptual solutions aimed to reduce operator variability and support in the reference estimation process are integrated in GliMAn (Glial Tumor Manual Annotator), an application allowing to view and manipulate MRI volumes and implementing a label fusion strategy based on fuzzy connectedness. A set of experiments was conceived and conducted to evaluate the contribution of the solutions proposed in the process of manual segmentation and reference data estimation.

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next chapter Analysis of the Retinal Nerve Fiber Layer Texture Related to the Thickness Measured by Optical Coherence Tomography
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Metadata
Title
On the Evaluation of Automated MRI Brain Segmentations: Technical and Conceptual Tools
Authors
Elisabetta Binaghi
Valentina Pedoia
Desiree Lattanzi
Emanuele Monti
Sergio Balbi
Renzo Minotto
Copyright Year
2015
Book
Developments in Medical Image Processing and Computational Vision

Print ISBN: 978-3-319-13406-2

Electronic ISBN: 978-3-319-13407-9

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-13407-9_1