Classification of prostate magnetic resonance spectra using Support Vector Machine
نویسندگان
چکیده
منابع مشابه
Classification of prostate magnetic resonance spectra using Support Vector Machine
Prostate cancer is the most common cancer in men over 50 years of age and it has been shown that nuclear magnetic resonance spectra are sensitive enough to distinguish normal and cancer. In this paper, we propose a classification technique of spectra from magnetic resonance spectroscopy. We studied automatic classification with and without quantification of metabolite signals. The dataset is co...
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ژورنال
عنوان ژورنال: Biomedical Signal Processing and Control
سال: 2012
ISSN: 1746-8094
DOI: 10.1016/j.bspc.2011.09.003