Resumo

RODRIGUEZ VAZQUEZ, Solangel  e  MARTINEZ BORGES, Andy Vidal. Alternative tool for classification of cervical cells using only features of the nucleus. RCIM [online]. 2016, vol.8, n.2, pp. 224-238. ISSN 1684-1859.

Cervix cancer is one of the biggest threats of cancer death among women. With continued advances in medicine and technology, deaths from the disease have fallen significantly. The investigations concerning this issue have determined key symptoms to detect the disease in time to give timely treatment. Conventional cytology is one of the most widely used techniques, being widely accepted, inexpensive, and with control mechanisms. In order to alleviate the workload of specialists, some researchers have proposed the development of computer vision tools to detect and classify the changes in the cells of the cervical region. This research aims to provide a tool for automatic classification, applicable to medical conditions and research centers of the country. This tool should be able to classify the cells of the cervix, based solely on the features extracted from the core region without using the characteristics of the cytoplasm, so that the rate of false negative Pap test is reduced. From the study, a tool is obtained using the k nearest-neighbors manhattan distance technique, which showed a high performance maintaining AUC values greater than 91% and reaching 97.1% over classifiers SVM and RBF Network, which were also analyzed.

Palavras-chave : cervix cancer; cervical cells; cell classification; kNN; cell nucleus; SVM; distances.

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