Method of pattern recognition of computer generated images and its application for protein 2D gel image diagnosis of a disease

摘要

The method we invent is about finding patterns of images displayed in computers, generated by such as electrophoresis 2D gel, X-ray and CAT (computer assisted tomography) and applying for a diagnosis of a disease. To get patterns of images, first normalize the images and use knowledge-based machine to classify the set of images into two groups, normal and abnormal. The objective function obtained from the learning machine gives us a criterion to diagnose a disease.