Mohd Salzahrin Mohd Hamzah, Rosminah Md Kasim, A. Yunus, O. M. Rijal, N. Noor
{"title":"Detection of Interstitial Lung Disease using correlation and regression methods on texture measure","authors":"Mohd Salzahrin Mohd Hamzah, Rosminah Md Kasim, A. Yunus, O. M. Rijal, N. Noor","doi":"10.1109/ICIVPR.2017.7890877","DOIUrl":null,"url":null,"abstract":"A novel procedure to detect Interstitial Lung Disease (ILD) with High Resolution Computed Tomography (HRCT) images is proposed. Seven texture measures from a selected slice of HRCT lung image of fifteen ILD cases, fifteen non-ILD cases and fifteen healthy individuals were obtained and their pairwise correlation calculated. Two groups of texture measure obtained from standard clustering procedure were then used to create a discrimination procedure using simple linear regression. The texture measure Contrast and Standard Deviation of Energy (STDE) gave the highest detection rate.","PeriodicalId":126745,"journal":{"name":"2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIVPR.2017.7890877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A novel procedure to detect Interstitial Lung Disease (ILD) with High Resolution Computed Tomography (HRCT) images is proposed. Seven texture measures from a selected slice of HRCT lung image of fifteen ILD cases, fifteen non-ILD cases and fifteen healthy individuals were obtained and their pairwise correlation calculated. Two groups of texture measure obtained from standard clustering procedure were then used to create a discrimination procedure using simple linear regression. The texture measure Contrast and Standard Deviation of Energy (STDE) gave the highest detection rate.
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