Medicinal Image Classification using Association Regulation Mining with Resolution Tree Algorithm

In this paper image mining concepts have been used for the diagnosis of the infected cells from the medical images. It manages the certain information extraction, picture information relationship and different examples which are not unequivocally put away in the pictures. This procedure is an expansion of information mining to picture area. Though the medical images are diagnosed using CT-scan and CAD (computer aided diagnosis) nearly 10-30% of the affected cells are not predicted but using this technique the medical images can be clearly diagnosed.