Neural Networks in Medical Imaging Applications: A Survey

Abstract

The principal method of obtaining physical information about the biological human body is called medical imaging. It is accomplished by creation of specialized images of human body or its parts for clinical purposes. In broader definition it is part of biological imaging and assimilates many specialized fields like nuclear medicine, radiological sciences, thermography and microscopy. From the early invention of X-RAYS by Wilhelm Rontgen back in 1895, the research and development in medical imaging continued throughout the century which resulted in highly technological medical imaging applications of the current era like ultrasound, lungs monitoring applications etc. Over the past twenty to thirty years clinical applications are habitually utilizing medical imaging in different forms and helping in better disease diagnostic and treatment. In last decade or so the usage of Neural Networks in applications of Medical Imaging opened new doors for researchers, stirring them to excel in this domain. This survey is the summarized overview of research and development held in recent past highlighting the role of Neural Networks in advancement of Medical Imaging.