Shaho Zarei

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Magnetic Resonance Spectroscopy (MRS) signals are being used for diagnosis of various brain diseases. Feature extraction of the MRS data is the most important step in analyzing the data. In this study a fully automated system is developed to analyze the MRS signals. The wavelet analysis is utilized in extracting signal features and the time-frequency(More)
Aim: Breast cancer is one of the most common cancers among women compared to all other ones. Proper and early detection of tumor type in a patient is a critical subject that can increase the survival chance. Statistical methods, such as classification can be useful instrument for physicians as an auxiliary tool to detect the type of tumor, increase the(More)
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