Browsing by Author "Conci, Aura"

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    Detección de patologías de la mama mediante filtros multirresolución
    (Universidad de Cuenca, 2016-11-16) Pérez, María G.; Benalcazar, Marco; Conci, Aura; Fiallos, Carlos
    Mammography is considered as the gold standard examination for early detection of breast cancer. However, in the techniques of medical image analysis 3 aspects are yet an issue: noise removal, segmentation of images, and extracting the region of interest (ROI). This work presents a survey of breast mammography and the preliminary results corresponding to a method for the automatic detection of breast anomalies in mammography images using histogram transformation, contrast enhancement and Quadrature Mirror Filter (QMF) banks. The QMF filters are preceded by an advanced tree structured nonlinear filter for noise suppression. Several multiresolution methods are reported for feature extraction in breast cancer using digital mammography. The initial approach is directed to malignant diseases, such as microcalcification clusters, present in mammograms, using initially two or three channels for the multiresolution decomposition.
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    Detección temprana del cáncer de mama mediante la termografía en Ecuador
    (Universidad de Cuenca, 2014) Pérez, María G.; Conci, Aura; Aguilar, Aida; Sánchez, Angel; Andaluz, Víctor H.; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUC
    Breast cancer is one of the most common cancer types among women in Quito, Ecuador. Although, awareness campaigns and researches have led to improved diagnosis and treatment, in less developed countries it still is an unresolved problem due to the diagnosis only in advanced stages and the lack of resources enabling early detection. In Ecuador, for example, about four out of ten women diagnosed with breast cancer are in advanced stages (III and IV), whose treatment is costly and complex. The World Health Organization (WHO) states that screening programs are the more efficient way to combat this disease. Therefore it is fundamental to address new researches on early detection that are cost-effective and present advantages over the current method (based on the self-examination and mammography). The identification of such disease in early stage increases the prognosis and the survival rate. This article proposes a technique to incorporate low-cost, non-invasive early diagnosis based on the use of thermal.