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SFTA feature extraction. A tumor ROI is decomposed to 16 binary images by applying the two-threshold binary decomposition algorithm. For each binary image, three features are computed: fractal dimension, area, and the average gray level of the corresponding pixels in the original image. The 48 features are combined to form the SFTA feature descriptor. “I” refers to the gray-level representation of the image. tn and tn+1 represent the upper and lower limits of the nth intensity bin.
