{"title":"内镜影像可视化在临床决策支持系统中的应用","authors":"N. A. Obukhova, A. Motyko, A. Pozdeev","doi":"10.1109/DSPA48919.2020.9213285","DOIUrl":null,"url":null,"abstract":"Virtual chromoendoscopy technology allows to increase the diagnostic efficiency by using digital processing methods. The article proposes various algorithms for the virtual chromoendoscopy implementation based on a tone correction as the first step, and with non-linear methods for correcting brightness and contrast as the second step. An open base of Kvasir endoscopic images was used as an experimental base for evaluating the effectiveness of the proposed algorithms. The visual effect provided by the proposed algorithm corresponds to or, in a significant number of cases, exceeds the visual effect of closed virtual endoscopy technologies, such as i-scan and FICE.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Endoscopic Images Visualization in Clinical Decision Support Systems\",\"authors\":\"N. A. Obukhova, A. Motyko, A. Pozdeev\",\"doi\":\"10.1109/DSPA48919.2020.9213285\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Virtual chromoendoscopy technology allows to increase the diagnostic efficiency by using digital processing methods. The article proposes various algorithms for the virtual chromoendoscopy implementation based on a tone correction as the first step, and with non-linear methods for correcting brightness and contrast as the second step. An open base of Kvasir endoscopic images was used as an experimental base for evaluating the effectiveness of the proposed algorithms. The visual effect provided by the proposed algorithm corresponds to or, in a significant number of cases, exceeds the visual effect of closed virtual endoscopy technologies, such as i-scan and FICE.\",\"PeriodicalId\":262164,\"journal\":{\"name\":\"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSPA48919.2020.9213285\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPA48919.2020.9213285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Endoscopic Images Visualization in Clinical Decision Support Systems
Virtual chromoendoscopy technology allows to increase the diagnostic efficiency by using digital processing methods. The article proposes various algorithms for the virtual chromoendoscopy implementation based on a tone correction as the first step, and with non-linear methods for correcting brightness and contrast as the second step. An open base of Kvasir endoscopic images was used as an experimental base for evaluating the effectiveness of the proposed algorithms. The visual effect provided by the proposed algorithm corresponds to or, in a significant number of cases, exceeds the visual effect of closed virtual endoscopy technologies, such as i-scan and FICE.