Fuzzy rules were used to enhance images in the pre-processing step. The contrast enhancement and filtration methods are proposed to eliminate noise and artifacts from images. Implementation of fuzzy rules resulted in considerable image quality improvement. Next, the segmentation of regions corresponding to abnormalities is performed and geometrical and statistical parameters of the detected structures are calculated. Final classification algorithm is based on fuzzy rules.
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