Adaptive neural network imaging in medical systems

Recent technological advances in medicine has facilitated the development of sophisticated equipment enabling the better delivery of health care services. In parallel, artificial neural networks have emerged as promising tools for the application and implementation of intelligent systems. The aim of this paper is to provide a snapshot of the application of neural network systems in medical imaging. The paper highlights neural network applications in the analysis of cervicovaginal smears, mammography, microscopy, ultrasound imaging, and lesion placement in pallidotomy. It is anticipated that the application of neural network systems in medicine will provide the framework for the development of emerging medical systems, enabling the better delivery of health care.