Towards Tumor Stage Classification and Treatment quality

Abstract

Exact Stage tumor classification and treatment quality is a necessary feature of computer aided tumor diagnosis system for breast and lung cancer. This could achieve after accurate tumor identification because if the system is unable to detect accurate tumor then it is impossible to find exact stage of tumor and vice versa. For accurate identification a CAD is demonstrated in (Waqas Haider 2011). In this article the exact tumor stage classification and treatment quality phase is demonstrated. The proposed phase requires an accurate detected tumor area, the biological tumor stage information and treatment plan according to the stage of tumor and Neural Network based decision making ability. The proposed phase for achieving treatment quality make use of neural network utility of artificial intelligence and data mining , for automatic decision making upon detected area of tumor and stored information at CAD e.g tumor stage biological information and treatment plan. The demonstration shows that it helps in efficiency of computer aided tumor diagnosis system as it comprises on accurate early stage tumor detection, exact stage classification and automated treatment plan generation.

So far with the help of image processing applications and artificial neural networks different CAD system are proposed which detect and classify lung and breast cancer, but still required a lot of improvements for exact tumor stage classification and treatment quality. The term treatment quality is highly dependent on accuracy and efficiency of CAD.

Keywords: Computer Aided Tumor Diagnosis, Tumor stage classification, Neural network, Data mining