A THEORETICAL STUDY ON PARTIALLY AUTOMATED METHOD FOR (PROSTATE) CANCER PINPOINT USING MAGNETIC RESONANCE IMAGING (MRI)

M.Venkatesh Kumar, P.Kalamani, M. ChithambaraThanu

Abstract: A Partially Automated method for (Prostate) Cancer pinpoint using Multi-parametric magnetic resonance imaging has been proposed in this paper, which can be used in guiding surgery. A Random Walker (RW) algorithm has been analyzed with seed initialization to perform (Prostate) cancer pinpoint using Magnetic Resonance Imaging (MRI). Segmentation can be done by using Random Walker (RW) algorithm which has to be considered to be a fastest method. Random Walker (RW) method can be used with multi-parametric magnetic resonance imaging (MRI) and then by using Support Vector Machine (SVM) method, we can determine the seed points in a partially automated manner. By using this method, more weights to the image can be assigned in order to produce improved segmentation process. The proposed method can also give high specificity rate without reducing the sensitivity which is better than earlier methods and fisher sign test can be also used to find the statistical differences.

Keywords: Support Vector Machine, Random Walker, Magnetic Prediction, Magnetic Resonance.

DOI: https://doi.org/10.15623/ijret.2014.0301050