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Results of the proposed method were compared with ground truth images and produced sensitivity in the range of 65%\u201390%, specificity in the range of 98%\u201399%, and accuracy in the range of 95%\u201398%. Peak signal to noise ratio and structural similarity index were also used as performance measures for determining segmentation accuracy: 95% and 0.95, respectively. The parameters of level set formulation vary for different datasets. An optimization procedure was followed to fine tune parameters. The proposed method was found to be efficient and robust against noisy images. 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