Comput. Biol. Med. - A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.

Tópicos

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Resumo

This paper presents a comparative study between wavelet and curvelet transform for breast cancer diagnosis in digital mammogram. Using multiresolution analysis, mammogram images are decomposed into different resolution levels, which are sensitive to different frequency bands. A set of the biggest coefficients from each decomposition level is extracted. Then a supervised classifier system based on Euclidian distance is constructed. The performance of the classifier is evaluated using a 2 x 5-fold cross validation followed by a statistical analysis. The experimental results suggest that curvelet transform outperforms wavelet transform and the difference is statistically significant.

Resumo Limpo

paper present compar studi wavelet curvelet transform breast cancer diagnosi digit mammogram use multiresolut analysi mammogram imag decompos differ resolut level sensit differ frequenc band set biggest coeffici decomposit level extract supervis classifi system base euclidian distanc construct perform classifi evalu use x fold cross valid follow statist analysi experiment result suggest curvelet transform outperform wavelet transform differ statist signific

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