1. A computer-implemented method for processing an anomaly in a colon, the method comprising: in a digital representation of the colon comprising a representation of the anomaly, matching a digital template to the anomaly; as a result of the matching, producing a value indicating a cross-sectional area of the anomaly or a volume of the anomaly; based at least on the matching and the value indicating a cross-sectional area of the anomaly or the volume of the anomaly, classifying the anomaly.