{"title":"Automated Detection of White Blood Cells Cancer Disease","authors":"Lakshmi Kg, N. Manja Naik","doi":"10.1109/ICAIT47043.2019.8987352","DOIUrl":null,"url":null,"abstract":"Leukemia is a blood disease . The pace of cure be dependent upon the kind of Leukemia just as the period of unfortunate casualties. Intense lymphocytic Leukemia, Acute myeloid Leukemia and typical instances of Microscopic pictures of blood marrow spreads at first separated the core by evacuating foundation utilizing division. At that point the impacted cores' shading, GLCM and geometric highlights are separated lastly these cells are named carcinogenic or nonmalignant cell and its subtypes utilizing bolster vector machine (SVM) and KNN classifier. The precision of the classifier assessed up to 94.3%. The trial results demonstrates that proposed calculation could achieve a sufficient exhibition for the analysis of AML, ALL and their sub-types.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Advances in Information Technology (ICAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIT47043.2019.8987352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Leukemia is a blood disease . The pace of cure be dependent upon the kind of Leukemia just as the period of unfortunate casualties. Intense lymphocytic Leukemia, Acute myeloid Leukemia and typical instances of Microscopic pictures of blood marrow spreads at first separated the core by evacuating foundation utilizing division. At that point the impacted cores' shading, GLCM and geometric highlights are separated lastly these cells are named carcinogenic or nonmalignant cell and its subtypes utilizing bolster vector machine (SVM) and KNN classifier. The precision of the classifier assessed up to 94.3%. The trial results demonstrates that proposed calculation could achieve a sufficient exhibition for the analysis of AML, ALL and their sub-types.