TY - JOUR
T1 - Leukocytes detection, classification and counting in smears of peripheral blood
AU - Martínez-Castro, J.
AU - Reyes-Cadena, S.
AU - Felipe-Riverón, E.
PY - 2014/4
Y1 - 2014/4
N2 - Using the κ-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 differentiate 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.
AB - Using the κ-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 differentiate 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.
KW - Automatic classifier of leukocytes
KW - Digital image processing
KW - K-NN
KW - Minkowski metric
KW - Pattern recognition
UR - http://www.scopus.com/inward/record.url?scp=84898844709&partnerID=8YFLogxK
M3 - Artículo
SN - 0188-9532
VL - 35
SP - 41
EP - 51
JO - Revista Mexicana de Ingenieria Biomedica
JF - Revista Mexicana de Ingenieria Biomedica
IS - 1
ER -