Extração de Características de Contornos Côncavos para Diagnóstico de Câncer de Mama

• Ricardo Marques UFMA
• Marcos Benevides UFMA
• Geovane Ramos Neto UFMA
• Anselmo de Paiva UFMA
• Geraldo Braz Júnior UFMA

DOI: https://doi.org/10.5753/sbcas.2015.10384

Abstract

Breast cancer has the highest rate of occurrence in the female population which accounts for 22% of new cases each year. An approach to early detect such anomaly is the mammography image. However, complex image patterns and the different organization of the breast tissues requires skill and experience by a trained physician to avoid faults in the mammograms interpretation. The main goal of this work utilizes concave geometry for extracting characteristics of mass regions with the purpose of making a diagnosis regarding the pattern of malignancy based on that the shape that circumscribe malignant masses are very irregular.

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