{"title":"生物医学图像处理的混合智能信息技术","authors":"O. Berezsky, Sergiy Verbovyy, O. Pitsun","doi":"10.1109/STC-CSIT.2018.8526711","DOIUrl":null,"url":null,"abstract":"Inthe research study, the authors analyzed the intelligent information technologies, developed the structure of the hybrid intelligent system, and created the structures and models of convolutional neural networks. Computer experiments were conducted on the example of cytological and histological images.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Hybrid Intelligent Information Technology for Biomedical Image Processing\",\"authors\":\"O. Berezsky, Sergiy Verbovyy, O. Pitsun\",\"doi\":\"10.1109/STC-CSIT.2018.8526711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Inthe research study, the authors analyzed the intelligent information technologies, developed the structure of the hybrid intelligent system, and created the structures and models of convolutional neural networks. Computer experiments were conducted on the example of cytological and histological images.\",\"PeriodicalId\":403793,\"journal\":{\"name\":\"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STC-CSIT.2018.8526711\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC-CSIT.2018.8526711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid Intelligent Information Technology for Biomedical Image Processing
Inthe research study, the authors analyzed the intelligent information technologies, developed the structure of the hybrid intelligent system, and created the structures and models of convolutional neural networks. Computer experiments were conducted on the example of cytological and histological images.