Publication Type:

Journal Article

Source:

Lecture Notes in Computational Vision and Biomechanics, Springer Netherlands, Volume 28, p.366-383 (2018)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042402025&doi=10.1007%2f978-3-319-71767-8_31&partnerID=40&md5=81f75320145dd8f0e0c9aad2292dfc01

Abstract:

<p>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. © 2018, Springer International Publishing AG.</p>

Notes:

cited By 0

Cite this Research Publication

H. P. Menon, Hiralal, R., A. Kumar, A., and Devasia, D., “Segmentation of MRI brain images and creation of structural and functional brain atlas”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 366-383, 2018.

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