{"title":"Hearing loss identification via wavelet entropy and combination of Tabu search and particle swarm optimization","authors":"Chaosheng Tang, Elizabeth Lee","doi":"10.1109/ICDSP.2018.8631839","DOIUrl":null,"url":null,"abstract":"Sensorineural hearing loss is correlated to massive neurological or psychiatric disease. We treated a three-class classification problem: HC, LHL, and RHL, and checked three different orientation images: coronal, axial, and sagittal. Different methods are compared with 10x6-fold cross validation. The results show that our proposed system shows better performance in detecting hearing loss.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2018.8631839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Sensorineural hearing loss is correlated to massive neurological or psychiatric disease. We treated a three-class classification problem: HC, LHL, and RHL, and checked three different orientation images: coronal, axial, and sagittal. Different methods are compared with 10x6-fold cross validation. The results show that our proposed system shows better performance in detecting hearing loss.
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