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Breast cancer is one of the most frequently occurring cancers among women throughout the world. In breast cancer prognosis, grading plays an important role. In this paper, we apply a novel method based on type-II fuzzy logic to Fourier Transform Infra-red Spectroscopy based breast cancer spectral data for the classification of breast cancer grade. A FTIR spectral data set consisting of 14 cases of...
Fourier Transform Infrared Spectroscopy (FTIR) is a relatively new technique that has been frequently applied now a days in cancer pathology including breast cancer. The long term aim of this work is to develop novel techniques using machine learning methods for the analysis of FTIR data sets. This paper presents the preliminary work with a case study of a FTIR data set of breast cancer with two commonly...
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