Estudo numérico do comportamento térmico de tecidos mamários saudáveis e com a presença de tumores

Abstract

Breast cancer is a major public health problem in Brazil, being the type of neoplasm that most affects women and also the one with the highest mortality rates. In this way, several detection methods have been developed in recent times. The proposals have their advantages, but the existing benefits do not exclude the need for further studies on this. Based on this conjuncture, the proposal of this end-of-course project is to contribute to the development of a new technique that assists with more assertive and early diagnoses. The methodology consists in the application of Fourier and Hilbert transforms in thermal impedance signals, in order to detect spherical inclusions added to an anatomical model of the breast. The results found were promising, a fact that strengthens the hypothesis that the analysis of signs in such a way can contribute to the future of cancer diagnosis.