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Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Segmentation of MRI Brain Images and Creation of Structural and Functional Brain Atlas

Authors : Hema P. Menon, Reshma Hiralal, A. Anand Kumar, Davidson Devasia

Published in: Computational Vision and Bio Inspired Computing

Publisher: Springer International Publishing

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Abstract

In this work an analysis of the different segmentation algorithms has been done, in order to select the most appropriate method for segmenting the brain into its corresponding regions. This selection is done by comparing the segmented regions with the ground truth images using measures like Dice, Precision, Recall and Score. The segmented regions are then labelled by their respective part names and used for creation of structural and functional brain atlas. This atlas would be of great use to doctors in providing assistance in disease analysis and can also be used as a teaching/learning kit.

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Appendix
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Metadata
Title
Segmentation of MRI Brain Images and Creation of Structural and Functional Brain Atlas
Authors
Hema P. Menon
Reshma Hiralal
A. Anand Kumar
Davidson Devasia
Copyright Year
2018
Book
Computational Vision and Bio Inspired Computing

Print ISBN: 978-3-319-71766-1

Electronic ISBN: 978-3-319-71767-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-71767-8_31