Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning-Reference-Cited by-同舟云学术

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Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning

Published:2016-10-19 Issue: Volume:10 Page:
ISSN:1662-5188
Container-title:Frontiers in Computational Neuroscience
language:
Short-container-title:Front. Comput. Neurosci.

Author:

Wang Shuihua,Yang Ming,Du Sidan,Yang Jiquan,Liu Bin,Gorriz Juan M.,Ramírez Javier,Yuan Ti-Fei,Zhang Yudong

Funder

National Natural Science Foundation of China

Jilin University

Publisher

Frontiers Media SA

Subject

Cellular and Molecular Neuroscience,Neuroscience (miscellaneous)

Reference67 articles.

1. After detection: the improved accuracy of lung cancer assessment using radiologic computer-aided diagnosis;Amir;Acad. Radiol.,2016

2. Diagnosis of acute coronary syndrome with a support vector machine;Berikol;J. Med. Syst.,2016

3. A new approach for deep gray matter analysis using partial-volume estimation;Bonnier;PLoS ONE,2016

4. An iterative self-training support vector machine algorithm in brain-computer interfaces;Chen;Intell. Data Anal.,2016

5. Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine;Chen;Int. J. Imaging Syst. Technol.,2015

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