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Breast cancer shows high frequency and its psychological effects affect the female's perception of sexuality and their personal image. The mammographic images processing has contributed to the detection and diagnosis of breast nodules, and contributes as an important tool, reducing the diagnosis uncertainty. This work presents a computational methodology that helps the expert in the task of mass detection...
Female breast cancer is the major cause of death in occidental countries. Efforts in computer vision have been made in order to help improving the diagnostic accuracy by radiologists. We propose a methodology to distinguish Mass and Non-Mass tissues on mammograms. It is based on the computation of geostatistical measures (Moran's Index and Geary's Coefficient) over a multiresolution image representation...
Female breast cancer is the major cause of death in western countries. Efforts in computer vision have been made in order to help improving the diagnostic accuracy by radiologists. In this paper, we present a methodology that uses Independent Component Analysis (ICA) along with Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) to distinguish between Mass or Non-Mass and Benign or...
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