{"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}
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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.
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