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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Conganat; [citado 23 Feb ].
The only way and often the best option is to have a human expert observer or more than one to define the ground truth by generating manual outlines . Wolters Kluwer; [citado 6 Mar ]. Then, a variety of features are extracted from the segmented regions.
Frotis de sangre
Swar m an d Evolutionar y Computation11 0: In this way we could get the segmented cells. Next, the binary image is obtained by using adaptive thresholding over the green plane. In all cases the results were based on the medium value and on the standard deviation of measured parameters.
In this image the nuclei of interest presented a darker grey level than the rest of the objects. At this stage of the process, we already have the binary images of the nuclei Fig.
Importancia del estudio del frotis de sangre periférica en ancianos
Different types of white blood cells vary in color, granularity and texture, especially in the cytoplasm. 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. An approach that actively selects efficient samples by simulating visual attention , uses a two-stage method bottom-up and top-down via learning by on-line sampling to automatically segment complex leukocyte images.
Principios de Medicina Interna. For this reason, we calculated the area of objects counting the pixels of each object.
Estas anemias se presentan con frecuencia en el adulto mayor. Springer Berlin Heidelberg, Indian Institute of Science. Manzoni D, Sujobert P. Consideraciones generales referentes a las alteraciones de los leucocitos en las enfermedades bacterianas 4,34, Hematology is the branch of medical science responsible for the study of the elements integrating the blood as well as their precursors, and the structural and biochemical disorders of these elements that can lead to a disease.
Biblioteca Nacional de Medicina de Estados Unidos. Calle 51 A y ave 5 de septiembre. Anemias of Chronic disease, peripheral blood smear [Internet].
For image segmentation they applied Support Vector Machines SVM directly to the spectrum of each pixel, and sequential minimal optimization algorithm for feature selection to reduce the time of training SVM classifier. The objective perifeerica this work is to describe a computational system, platform independent, that enables the identification, counting and classification of the five normal forms of leukocytes ed in the peripheral blood.
An Med Interna Madrid [revista en Internet]. Despite its simplicity, it offers very good performance on many problems. With this, we obtained an image with the objects of interest more defined nucleiFig.
Int J LabHem [revista en Internet]. Facultad de Medicina; [citado Mar 23]. The algorithm k -NN k-Nearest Sangeoriginally proposed by Fix and Hodges , is a very simple “instance-based” learning algorithm. Trotis task of segmenting them is carried out after the contrast enhancement of the adequately prepared smear and the prior transformation to a gray-level image of the commonly used color RGB image.
The leukocytes, better known as white blood cells, lack of pigment. Color Atlas of Clinical Hematology.
There are instruments such as flow cytometer and automatic counting machines that examine white blood cells quantitatively but not qualitatively.