Design and Development of Expert System for Lung image Analysis

Abstract

The known fact of wide impression of digitization on every aspect makes us refer to the artificial intelligence in lowering the difficulty of analyzing a medical image. Considering that the neural network applications in computer aided diagnosis represents the main stream of computational intelligence in medical imaging, it focuses on recent neural network developments. Keeping in mind the extremity of the requirement of how much perfectly it analyzes an image that well it can be justified, providing a clear view on the developments made by Mathematical morphology, back propagation neural networks in computer-aided detection, diagnosis and simulation describing number of applications. Representative techniques and algorithms are explained in detail illustrating how neural networks with fixed structure and training procedure could be applied to resolve a medical imaging problem followed by getting analyzed, processed and characterized by it. In the concluding section, an emphasis of comparisons among many neural network applications is included to provide the extent of neural computation in medical imaging.