Texture Analysis Method Based on Fractional Fourier Entropy and Fitness-scaling Adaptive Genetic Algorithm for Detecting Left-sided and Right-sided Sensorineural Hearing Loss

• Autorzy: Wang S. , Yang M. , Li J. , Wu X. , Wang H. , Liu B. , Dong Z. , Zhang Y.

Identyfikatory

DOI

10.3233/FI-2017-1507

• Języki publikacji: EN

Abstrakty

EN

To detect the sensorineural hearing loss (SNHL) from healthy people accurately, we used magnetic resonance imaging (MRI) to obtain the imaging data, and then proposed a new computer-aided diagnosis (CAD) system, on the basis of texture analysis method. In the first, we extracted 12-element feature from each brain image via fractional Fourier entropy (FRFE). Afterwards, multilayer perceptron (MLP) was employed as the classifier, which was trained by a novel fitness-scaling adaptive genetic algorithm (FSAGA). The statistical analysis over 49 subjects showed the overall accuracy of our method yielded 95.51%. Experimental results performed better than four state-of-the-art weight optimization methods, and this CAD system give significantly better performance than manual interpretation.

Słowa kluczowe

EN

texture analysis; fractional Fourier entropy; power-rank fitness scaling; sensorineural hearing loss; genetic algorithm

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2017
• Tom: Vol. 151, nr 1/4
• Strony: 505--521
• Opis fizyczny: Bibliogr. 50 poz., fot., rys., tab., wykr.

Twórcy

autor

Wang S.

• School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China
• First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China

autor

Yang M.

• Department of Radiology, Nanjing Childrens Hospital, Nanjing Medical University, Nanjing 210008, China
• State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang 310027, China

autor

Li J.

• School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China

autor

Wu X.

• School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China
• Jilin University, Changchun, Jilin 130012, China

autor

Wang H.

• School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China
• Manchester Metropolitan University, Manchester, M156BH, UK

autor

Liu B.

• Department of Radiology, Zhong-Da Hospital of Southeast University, Nanjing 210009, China

autor

Dong Z.

• Translational Imaging Division & MRI Unit, Columbia University and New York, State Psychiatric Institute, New York, NY 10032, USA

autor

Zhang Y.

• School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China
• State Statistics Bureau, Chengdu, Sichuan 610225, China

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