{"title":"染色体异常自动检测算法的提出","authors":"Oleksii Pysarchuk, Y. Mironov","doi":"10.31713/mcit.2021.26","DOIUrl":null,"url":null,"abstract":"The article considers the problem of automatic chromosome abnormalities recognition, using images of chromosomes as an input. This paper’s scope includes overview of application domain and analysis of existing solutions. A high-level algorithm for chromosome abnormalities recognition automation is proposed, and a proof-of-concept application is built on top of the algorithm.","PeriodicalId":281857,"journal":{"name":"Modeling Control and Information Technologies","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Proposal of Algorithm for Automated Chromosomal Abnormality Detection\",\"authors\":\"Oleksii Pysarchuk, Y. Mironov\",\"doi\":\"10.31713/mcit.2021.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article considers the problem of automatic chromosome abnormalities recognition, using images of chromosomes as an input. This paper’s scope includes overview of application domain and analysis of existing solutions. A high-level algorithm for chromosome abnormalities recognition automation is proposed, and a proof-of-concept application is built on top of the algorithm.\",\"PeriodicalId\":281857,\"journal\":{\"name\":\"Modeling Control and Information Technologies\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Modeling Control and Information Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31713/mcit.2021.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modeling Control and Information Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31713/mcit.2021.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Proposal of Algorithm for Automated Chromosomal Abnormality Detection
The article considers the problem of automatic chromosome abnormalities recognition, using images of chromosomes as an input. This paper’s scope includes overview of application domain and analysis of existing solutions. A high-level algorithm for chromosome abnormalities recognition automation is proposed, and a proof-of-concept application is built on top of the algorithm.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
