{"title":"无线胶囊内窥镜的计算机化诊断决策支持系统","authors":"V. Kodogiannis, J. Lygouras","doi":"10.1109/IS.2006.348494","DOIUrl":null,"url":null,"abstract":"Decision support systems have been utilised since 1960, providing physicians with fast and accurate means towards more accurate diagnoses, increased tolerance when handling missing or incomplete data. In this paper an integrated intelligent framework has been developed for the analysis/diagnosis of wireless capsule endoscopic images. The proposed system extracts texture features from the texture spectra in the chromatic and achromatic domains for a selected region of interest from each colour component histogram of images and utilises an advanced neural network in a multiple classifier scheme. The preliminary test results support the feasibility of the proposed methodology","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Computerised Diagnostic Decision Support System in Wireless-Capsule Endoscopy\",\"authors\":\"V. Kodogiannis, J. Lygouras\",\"doi\":\"10.1109/IS.2006.348494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Decision support systems have been utilised since 1960, providing physicians with fast and accurate means towards more accurate diagnoses, increased tolerance when handling missing or incomplete data. In this paper an integrated intelligent framework has been developed for the analysis/diagnosis of wireless capsule endoscopic images. The proposed system extracts texture features from the texture spectra in the chromatic and achromatic domains for a selected region of interest from each colour component histogram of images and utilises an advanced neural network in a multiple classifier scheme. The preliminary test results support the feasibility of the proposed methodology\",\"PeriodicalId\":116809,\"journal\":{\"name\":\"2006 3rd International IEEE Conference Intelligent Systems\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 3rd International IEEE Conference Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IS.2006.348494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 3rd International IEEE Conference Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IS.2006.348494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Computerised Diagnostic Decision Support System in Wireless-Capsule Endoscopy
Decision support systems have been utilised since 1960, providing physicians with fast and accurate means towards more accurate diagnoses, increased tolerance when handling missing or incomplete data. In this paper an integrated intelligent framework has been developed for the analysis/diagnosis of wireless capsule endoscopic images. The proposed system extracts texture features from the texture spectra in the chromatic and achromatic domains for a selected region of interest from each colour component histogram of images and utilises an advanced neural network in a multiple classifier scheme. The preliminary test results support the feasibility of the proposed methodology
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