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Computer-based image analysis system overview. The masks generated by manual segmentation were preprocessed to find the centerlines and construct the vascular tree. The tree and the manual mask then were fed into the feature extraction module, which outputs segment-based and point-based features quantifying vascular tortuosity and dilation. Given these features, a classification system was built to identify each image as plus, preplus, or normal.
