Determination of cancer cells using an expert system

Cells are the building blocks of our body and they create the main structure of all organs. Cells that a healthy person has used their feature of divisibility so that new cells can replace dead cells and recovery can take place in injured parts. A healthy cell knows to what extent it can split where it can multiply. However, cancer cells split and multiply in an uncontrolled way. If cancer cells, in further phases, move off the tumor they have created, they colonize in their culatory system and other parts of the body, and they continue to grow there. This may lead to organ loss or death. Expert systems are systems which are capable of improving themselves in the area of a given discipline, based on the information obtained from real persons. The have the ability to make decisions partly like human beings. Having been developed, expert systems should give the same results as human beings. Contrary to common view, the aim of the system is not to replace expert but to support the decisions which will be made by the experts during the diagnosis process. Thus, specialized systems should be thought of as supporting systems. Therefore, the main aim of this study is to ensure that experts make decisions in a faster and correct way. In this thesis study, a specialized system has been developed to diagnose cancer, the deadliest disease of our time. In this system, we have used Matlab (and other program if available) as the image processing system user interface and aimed to diagnose cancer cells and discriminate them from healthy ones.