1. A method for discriminating anomalies in a medical image, comprising: detecting with a programmable computer anomalies in the medical image; classifying the detected anomalies as cancerous or non-cancerous, said classifying comprising, determining a genetic response surface methodology (GRSM) model for each of the detected anomalies, determining a cancerous GRSM model from a database of cancerous anomalies, and comparing the cancerous GRSM model to the GRSM model for each of the detected anomalies to classify each of the detected anomalies as cancerous or non-cancerous; and displaying the detected anomalies on the medical image.