Resumo

HEROLD-GARCIA, Silena et al. Study of sickle cell anemia using computacional methods. RCIM [online]. 2016, vol.8, n.1, pp. 134-143. ISSN 1684-1859.

Digital image processing and computer vision are frequently used in medicine at present and the proposals of new methods of automatic analysis of digital images or the efficiency improvement of the existing are of great interest. In this work new methods to computationally study sickle cell disease through blood samples images are developed, an illness with high incidence in the world and in Cuba, mainly in the eastern region. New shape analysis methods obtained from classical results of integral geometry and new computer vision proposals for evaluate neuro physiological disorders associated with this illness through the study of the facial expressions of the patient were proposed. The statistical validation realized confirmed the superiority of these methods on previous proposals, which is why they are valid to be introduced in support software to improve the quality of the medical attention.

Palavras-chave : shape analysis; facial expression analysis; sickle cell disease.

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