{"title":"计算机断层扫描生物目标识别过程的算法","authors":"T. Petrova, Z. Petrov","doi":"10.1109/InfoTech55606.2022.9897075","DOIUrl":null,"url":null,"abstract":"This paper studies the results from the development of a model of a system for disease diagnosis based on an analytical method by image segmentation. Image segmentation has shown excellent efficiency for processing images acquired by computed tomography. The proposed model of a system for diagnosis has substantially enlarged the possibilities for an integrated approach when solving problems and discovering pathologies. This model has been tested on a computed tomography image – human brain with lesion.","PeriodicalId":196547,"journal":{"name":"2022 International Conference on Information Technologies (InfoTech)","volume":"3 9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algorithmization of the Process of Recognition of Biological Objects by Computed Tomography\",\"authors\":\"T. Petrova, Z. Petrov\",\"doi\":\"10.1109/InfoTech55606.2022.9897075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the results from the development of a model of a system for disease diagnosis based on an analytical method by image segmentation. Image segmentation has shown excellent efficiency for processing images acquired by computed tomography. The proposed model of a system for diagnosis has substantially enlarged the possibilities for an integrated approach when solving problems and discovering pathologies. This model has been tested on a computed tomography image – human brain with lesion.\",\"PeriodicalId\":196547,\"journal\":{\"name\":\"2022 International Conference on Information Technologies (InfoTech)\",\"volume\":\"3 9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Information Technologies (InfoTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/InfoTech55606.2022.9897075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Information Technologies (InfoTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InfoTech55606.2022.9897075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithmization of the Process of Recognition of Biological Objects by Computed Tomography
This paper studies the results from the development of a model of a system for disease diagnosis based on an analytical method by image segmentation. Image segmentation has shown excellent efficiency for processing images acquired by computed tomography. The proposed model of a system for diagnosis has substantially enlarged the possibilities for an integrated approach when solving problems and discovering pathologies. This model has been tested on a computed tomography image – human brain with lesion.
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