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Our system is best characterized as semiautomated but is a step toward the development of a fully automated system to assist in the diagnosis of colorectal lesions based on classification of pit patterns.

Differentiation between colon cancer and acute inflammation is possible with CEUS. Furthermore, prediction of mucinous vs. non-mucinous adenocarcinoma is possible.

Computer analysis of magnified endoscopy images for the diagnosis of colorectal lesions appears feasible. We anticipate further developments in the computer-aided diagnosis of pit patterns on magnified endoscopy images.