Brain medical image diagnosis based on corners with importance-values-Reference-Cited by-同舟云学术

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Brain medical image diagnosis based on corners with importance-values

Published:2017-11-21 Issue:1 Volume:18 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Gao Linlin, ,Pan Haiwei,Li Qing,Xie Xiaoqin,Zhang Zhiqiang,Han Jinming,Zhai Xiao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-017-1903-6.pdf

Reference26 articles.

1. Suk HI, Lee SW, Shen D, et al. Deep ensemble learning of sparse regression models for brain disease diagnosis. Med Image Anal. 2017;37:101–13.

2. Davatzikos C, Fan Y, Wu X, et al. Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging. Neurobiol Aging. 2008;29(4):514–23.

3. Jing Sh R, Hai WP, Peng YL, et al. Symmetry theory based classification algorithm in brain computed tomography image database. J Med Imaging Health Inform. 2016;6(1):22–33.

4. Ding, Yi, et al. "Classification of Alzheimer's disease based on the combination of morphometric feature and texture feature."Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on. IEEE, 2015.

5. Rosten E, Porter R, Drummond T. Faster and better: A machine learning approach to corner detection. IEEE Trans PAMI. 2010;32(1):105–19.

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