Pathological brain detection in MRI scanning by wavelet packet Tsallis entropy and fuzzy support vector machine-Reference-Cited by-同舟云学术

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Pathological brain detection in MRI scanning by wavelet packet Tsallis entropy and fuzzy support vector machine

Published:2015-11-24 Issue:1 Volume:4 Page:
ISSN:2193-1801
Container-title:SpringerPlus
language:en
Short-container-title:SpringerPlus

Author:

Zhang Yu-Dong,Wang Shui-Hua,Yang Xiao-Jun,Dong Zheng-Chao,Liu Ge,Phillips Preetha,Yuan Ti-Fei

Funder

National Natural Science Foundation of China

Natural Science Foudation of Jiangsu Province

Program of Natural Science Research of Jiangsu Higher Education Institutions

Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing

Key Supporting Science and Technology Program (Industry) of Jiangsu Province

Special Funds for Scientific and Technological Achievement Transformation Project in Jiangsu Province

Nanjing Normal University Research Foundation for Talented Scholars

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1186/s40064-015-1523-4.pdf

Reference53 articles.

1. Amaral-Silva H, Wichert-Ana L, Murta LO, Romualdo-Suzuki L, Itikawa E, Bussato GF, Azevedo-Marques P (2014) The superiority of Tsallis Entropy over traditional cost functions for brain MRI and SPECT registration. Entropy 16(3):1632–1651. doi: 10.3390/e16031632

2. Ashkezari AD, Ma H, Saha TK, Ekanayake C (2013) Application of fuzzy support vector machine for determining the health index of the insulation system of in-service power transformers. IEEE Trans Dielectr Electr Insul 20(3):965–973

3. Cabella BCT, Sturzbecher MJ, de Araujo DB, Neves UPC (2009) Generalized relative entropy in functional magnetic resonance imaging. Phys A 388(1):41–50. doi: 10.1016/j.physa.2008.09.029

4. Campos D (2010) Real and spurious contributions for the Shannon, Rényi and Tsallis entropies. Physica A 389(18):3761–3768

5. Chaplot S, Patnaik LM, Jagannathan NR (2006) Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network. Biomed Signal Process Control 1(1):86–92. doi: 10.1016/j.bspc.2006.05.002

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