2016, Número 3
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Revista Cubana de Informática Médica 2016; 8 (3)
Clasificación de eritrocitos empleando modelos ocultos de Márkov
Herold-Garcia S, Marrero-Fernández P, González-Hidalgo M, Jaume-i-Capó A, Mir A
Idioma: Español
Referencias bibliográficas: 26
Paginas: 499-514
Archivo PDF: 267.72 Kb.
RESUMEN
Se realiza un estudio del desempeño de los modelos ocultos de Márkov (HMM) en la clasificación morfológica supervisada de eritrocitos en muestras de sangre periférica de pacientes con anemia drepanocítica. Los contornos se representan de forma novedosa considerando las diferencias angulares en la curvatura de los puntos del mismo. El entrenamiento de cada modelo se realiza tanto con la descripción normal de los contornos como con la representación de la rotación de los mismos, para garantizar una mayor estabilidad en los parámetros estimados. Se desarrolla un proceso de validación cruzada de 5x1 para estimación del error. Se obtienen las medidas de sensibilidad, precisión y especificidad de la clasificación. Los mejores resultados en cuanto a sensibilidad se obtienen al clasificar eritrocitos pertenecientes a dos clases: normales (96%) y elongados (99%). Al considerar además una clase de eritrocitos con otras deformaciones los mejores resultados se obtienen realizando el entrenamiento de los modelos con la rotación de todos los contornos, que alcanzó sensibilidades de normales (94%), elongados (82%) y con otras deformaciones (76%).
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