This paper supports the preliminary diagnosis of uterine cervix cancer. It determines the state (normal, dysplastic or cancerous) in individual cells dialogic demonstrations using an artificial vision system. The recognition of the state in uterine cervix cells is performed in two basic steps, namely: Initially the cell to be analyzed should be classified as superficial, intermediate or parabasal, based on its appearance (color, shape, size, etc.). ). Subsequently, it is detected which criteria of malignancy or premalignity are present, in order to make the corresponding diagnosis in the sample
Tópico:
AI in cancer detection
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