Chapter 9: Hearing loss classification via stationary wavelet entropy and cat swarm optimization
Chong Yao School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan, People’s Republic of China
Abstract
Aim: Pathological images in medicine should be diagnosed in time, and the disease should be accurately and efficiently classified by computer vision. In this chapter, we are devoted to the classification of hearing loss images. Materials: We selected 180 cases and obtained their nuclear magnetic resonance images as the experimental dataset. This group included 60 left-sided hearing loss (LHL) patients, 60 right-sided hearing loss (RHL) patients, and 60 healthy controls (HC). Method: In order to make the ...
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