Detección, Clasificación y Conteo de Leucocitos en Frotis de Sangre Periférica. J . Martínez-Castro* S. Reyes-Cadena** E. Felipe-Riverón *. * Centro de. Scribd is the world’s largest social reading and publishing site. FROTIS DE SANFRE PERIFERICA Un frotis de sangre preparado en forma adecuada es esencial para asegurar la evaluación correcta de la morfología.
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Using the k -NN classifier frotiw combination with the first Minkowski metric, in addition to techniques of digital image processing, a computational system platform-independent was able to identify, to classify and to count the five normal types of leukocytes. Hallazgo de linfopenia incidental [Internet]. The paper does not attempt to differentiate between smears of leukocytes coming from healthy and sick people; but only to detect their presence in peripheral blood independently of their number.
Importance of peripheral blood smears study in the elderly. Generalmente existen varias causas de anemia en el anciano. In the Background, we briefly pegiferica some general characteristics of leukocytes and their different types.
Then we used the negative of the image for smoothing the noise and filtering the artifacts. Then, the processes for the reduction of the additive noise and the contrast improvement are carried out.
However, it is still necessary to obtain the objects of interest in its original color in order to extract from them the characteristics that will help us to classify them. In all cases the results were based on the medium value and on the standard deviation of measured parameters.
Neutrophils, Eosinophils, Basophils, Monocytes and Lymphocytes.
The paper is organized as follows. Table 2 shows the number of periferkca of each type present in 45 smears previously classified by a specialist vs. In the other side, the system could be used in emerging areas such as the topographic hematology and the chronobiology.
Hematology is the branch of medical science responsible for the study of the elements frois the blood as well as their precursors, and the structural dangre biochemical disorders of these elements that can lead to a disease.
Next, the binary image is obtained by using adaptive thresholding over the green plane. Once the cells are fully segmented, the classifier k -NN was applied using the first Minkowski metric 1 to perform the count of the five normal shapes objects of study. With this, we obtained an image with the objects of interest more defined nucleiFig. First, a method based on Gram-Schmidt orthogonalization is proposed along with a snake algorithm to segment nucleus and cytoplasm of the cells.
Frotis de sangre – Wikipedia, la enciclopedia libre
The system could be used in emerging areas such as the topographic hematology and the chronobiology. Cienfuegos, Cuba medisur infomed.
The result of the adaptive thresholding is shown in Fig. In order to differentiate white blood cells in the microscope, it is needed to process the samples and apply a specific stain. The final objective dde blood cell segmentation is to extract each constituent object and segment every cell into its morphological components such as nucleus, cytoplasm, holes and other organelles . The repetitive procedure proved to be very tedious and in the long run can cause disruptions in the visual health of the people responsible for this task.
Frotis de sangre
The result of this operation is shown in Fig. Morphological operators have been developed to detect and classify other objects, i. Examination of peripheral blood films using automated microscopy; evaluation of diffmaster octavia and cellavision dm In order to validate segmentation output it is necessary to know the ground truth that is the true features of each object of interest.
To segment the nuclei of the leukocytes we used the green channel Gsince in this channel the image presents more details and less additive noise.
In general, papers dealing with automatic means to isolate leukocytes from erythrocytes and other organelles in peripheral blood are based on the color and size of these objects.
Rev Hosp Ital B Aires. The hematopoiesis presents three major cell lines: Next, we included an analysis of the antecedents and the state of the art.
En general se manifiesta con anemia, neutropenia o trombocitopenia persistentes o diferentes combinaciones de estos.
A typical image of it is shown in Fig. The objective of this work is to describe a computational system, platform independent, that enables the identification, counting and classification of the five normal forms of leukocytes present in the peripheral blood.
In  image processing algorithms are proposed to recognize five types of white blood cells in peripheral blood automatically. 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. Indian Institute of Science. Diagnosis of bacteremia on a Blood smear.
Fortunately, the science of electronics and computing has moved closer to other branches of knowledge, as it is the case of the hematology, in order to support and provide solutions to the problems they face.