Jorge Martínez-Carballido, Carolina Rosas-Huerta, J. Ramírez-Cortés
{"title":"Metamyelocyte Nucleus Classification Using a Set of Morphologic Templates","authors":"Jorge Martínez-Carballido, Carolina Rosas-Huerta, J. Ramírez-Cortés","doi":"10.1109/CERMA.2010.143","DOIUrl":null,"url":null,"abstract":"Laboratory tests and clinical analysis is a must to confirm or reject some medical diagnosis. Common analytical fields of knowledge are: Hematology, Clinical biochemistry, Urology, Microbiology among others. This work is for the clinical field of Hematology where detection of immature leukocytes on peripheral blood sample is part of a clinical test of relevance for detection of certain types of cancer. Hematologists distinguish metamyelocytes by their characteristic kidney shape of its nucleus. A novel approach for metamyelocyte classification uses a set of morphological templates. By transforming a pixel based contour to a contour region, morphological templates, the classification becomes a matter of sequence searching on a symbolic string. Using a ten image set for testing, the results are 100% correct. This is very promising, but further extensive set of images could lead to adding and/or modifying morphological templates.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2010.143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Laboratory tests and clinical analysis is a must to confirm or reject some medical diagnosis. Common analytical fields of knowledge are: Hematology, Clinical biochemistry, Urology, Microbiology among others. This work is for the clinical field of Hematology where detection of immature leukocytes on peripheral blood sample is part of a clinical test of relevance for detection of certain types of cancer. Hematologists distinguish metamyelocytes by their characteristic kidney shape of its nucleus. A novel approach for metamyelocyte classification uses a set of morphological templates. By transforming a pixel based contour to a contour region, morphological templates, the classification becomes a matter of sequence searching on a symbolic string. Using a ten image set for testing, the results are 100% correct. This is very promising, but further extensive set of images could lead to adding and/or modifying morphological templates.