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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Mosby Elsevier; Then we used the negative of the image for smoothing the noise and filtering the artifacts.

The clear difference in color of leukocytes is achieved by using a particular tincture to produce the smear. Textbook of Clinical Chemistry and Molecular Diagnostic. Importance of peripheral blood smears study in the elderly. Now the nuclei and its corresponding membrane are sangte.

Frotis de sangre

Digita l Imag e Processing. Atlas of peripheral blood. The effectiveness of our method was tested with a blind experiment.

Then, we described the methodologies carried out in the segmentation of each type of leukocyte. Wangre this, we obtained an image with the objects of interest more defined nucleiFig. However, the ground truth in medical imaging is an elusive concept because there is not a clear and absolute way to define it.

ABSTRACT The study of smear of peripheral blood consists on specifying and informing the morphological alterations of blood elements; This is a simple, xangre, quick exam in reporting its results, but at the same time requires much care and experience, given the time and interest that is devoted to its learning, the quality of the extension and its staining.


Facultad de Medicina; [citado Mar 23].

Comput Biol Med37 1: A typical image of it is shown in Fig. Anemia y otras causas. 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.

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: Automated leukocyte recognition using fuzzy divergence.

Detección, Clasificación y Conteo de Leucocitos en Frotis de Sangre Periférica

Similarly the median filter, and closing and opening operators are applied in order to obtain an image with the least possible noise and the cell membrane well defined Fig.

Medical Center; [citado 9 Jun ]. We know a priori five classes, namely, the five types of leukocytes to be classified: An approach that actively selects efficient samples by simulating visual attention [7], uses a two-stage method bottom-up and top-down via learning by on-line sampling to automatically segment complex leukocyte images.

Table 2 shows the number of leukocytes of each type present in 45 smears previously classified by a specialist vs. Arya, and Harish Sharma.

In order to differentiate white blood cells in the microscope, it is needed to process the samples and apply a specific stain. After segmenting the nuclei to isolate them from the erythrocytes, we proceed to separate them from the nuclear membrane.

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 blood smears, the number of red cells is many more than white blood cells.


The system could be used in emerging areas such as the topographic hematology and the chronobiology. En general se manifiesta con anemia, neutropenia o trombocitopenia persistentes o diferentes combinaciones de estos. These solutions are built, in its majority, based on the introduction of mathematical methods, algorithms and software tools. The level to which the subdivision is carried out depends on perferica problem being solved.

The morphological filters used were the closing Fig. In order to validate segmentation output it is necessary to know the ground truth that is the true features of each object of interest.

Importancia del estudio del frotis de sangre periférica en ancianos

Next, we included an analysis of the antecedents and the state of the art. The distance measure used was the Manhattan distance.

Neutrophils, Eosinophils, Basophils, Monocytes and Lymphocytes. 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.

Estas anemias se presentan con frecuencia en el adulto mayor. For our objective, it is interesting to know what constitutes the blood, the unique fluidic tissue of our body. Micron41 7: