Optimal Geometric Active Contours: Application to Human Brain Segmentation-Reference-Cited by-同舟云学术

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Optimal Geometric Active Contours: Application to Human Brain Segmentation

Published:2018 Issue: Volume: Page:646-657
ISSN:1865-0929
Container-title:Social Transformation – Digital Way
language:
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Author:

Biswas Ankur,Maity Santi P.,Bhattacharya Paritosh

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-1343-1_53

Reference23 articles.

1. Filippi, M., et al.: MRI criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines. Lancet Neurol. 15(3), 292–303 (2016)

2. Peper, J.S., Brouwer, R.M., Boomsma, D.I., Kahn, R.S., Hulshoff Pol, H.E.: Genetic influences on human brain structure: a review of brain imaging studies in twins. Hum. Brain Mapp. 28(6), 464–473 (2007)

3. Allen, J.S., Damasio, H., Grabowski, T.J.: Normal neuro anatomical variation in the human brain: an MRI-volumetric study. Am. J. Phys. Anthropol. 118(4), 341–358 (2002)

4. Liu, T., Xu, H., Jin, W., Liu, Z., Zhao, Y., Tian, W.: Medical image segmentation based on a hybrid region-based active contour model. Comput. Math. Methods Med. 2014, Article ID 890725, 10 p. (2014). https://doi.org/10.1155/2014/890725

5. Valverde, S., Oliver, A., et al.: Automated tissue segmentation of MR brain images in the presence of white matter lesions. Med. Image Anal. 35, 446–457 (2017)

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