Autores
Martínez Castro Jesús Alberto
Felipe Riverón Edgardo Manuel
Título Automatic detection, classification and counting of leukocytes in smears of peripheral blood
Tipo Revista
Sub-tipo Memoria
Descripción Research in Computing Science
Resumen Using the k-NN classifier in combination with the first Minkowski metric, in addition to techniques of digital image processing, we developed a computational system platform-independent, which is able to identify, to classify and to count five normal types of leukocytes: neutrophils, eosinophils, basophils, monocytes and lymphocytes. It is important to emphasize that this work does not attempt to diferentiate between smears of leukocytes coming from healthy and sick people; this is because most diseases produce a change in the differential count of leukocytes rather than in theirs forms. In the other side, the system could be used in emerging areas such as the topographic hematology and the chronobiology.
Observaciones Paper Recived 01-09-2013 and Acepted 21-10-2013
Lugar Distrito Federal
País Mexico
No. de páginas 23-33
Vol. / Cap. 63
Inicio 2013-11-01
Fin
ISBN/ISSN