{"title":"视频胶囊内窥镜内三维形态识别的新方法","authors":"J. Ayoub, B. Granado, O. Romain, Y. Mohanna","doi":"10.1109/DASIP.2011.6136872","DOIUrl":null,"url":null,"abstract":"This paper describes a novel approach to capsular endoscopy that takes advantage of existing wireless capsule endoscopy (WCE) and overcomes some of its important limits. The basic and essential task concerning the integration of SVM classifier is listed and discussed in details, as well as the new features required to improve its diagnostic capability. In addition, a large scale demonstrator has been evaluated and tested. In vitro experimental results were encouraging and show correct classification rate of intestinal polyps of approximately 93.7%. The work contains detailed statistics about the detection rate and the computing complexity.","PeriodicalId":199500,"journal":{"name":"Proceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new approach to 3D form recognition within video capsule endoscopic\",\"authors\":\"J. Ayoub, B. Granado, O. Romain, Y. Mohanna\",\"doi\":\"10.1109/DASIP.2011.6136872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a novel approach to capsular endoscopy that takes advantage of existing wireless capsule endoscopy (WCE) and overcomes some of its important limits. The basic and essential task concerning the integration of SVM classifier is listed and discussed in details, as well as the new features required to improve its diagnostic capability. In addition, a large scale demonstrator has been evaluated and tested. In vitro experimental results were encouraging and show correct classification rate of intestinal polyps of approximately 93.7%. The work contains detailed statistics about the detection rate and the computing complexity.\",\"PeriodicalId\":199500,\"journal\":{\"name\":\"Proceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DASIP.2011.6136872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASIP.2011.6136872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new approach to 3D form recognition within video capsule endoscopic
This paper describes a novel approach to capsular endoscopy that takes advantage of existing wireless capsule endoscopy (WCE) and overcomes some of its important limits. The basic and essential task concerning the integration of SVM classifier is listed and discussed in details, as well as the new features required to improve its diagnostic capability. In addition, a large scale demonstrator has been evaluated and tested. In vitro experimental results were encouraging and show correct classification rate of intestinal polyps of approximately 93.7%. The work contains detailed statistics about the detection rate and the computing complexity.
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