ABSTRACT
Neural networks have been widely reported in the research community of medical imaging. In this chapter, we provide a focused literature survey on neural network development in computer-aided diagnosis (CAD), medical image segmentation and edge detection toward visual content analysis, and medical image registration for its preprocessing and postprocessing. From among all these techniques and algorithms, we select a few representative ones to provide inspiring examples to illustrate (a) how a known neural network with fixed structure and training procedure can be applied to resolve a medical imaging problem; (b) how medical images can be analyzed, processed, and characterized by neural networks; and (c) how neural networks can be expanded further to resolve problems relevant to medical imaging. In the concluding section, a comparison of all neural networks is included to provide a global view on computational intelligence with neural networks in medical imaging.
