Special Session on

In recent years, automated analysis of medical images has become increasingly important especially as traditional reactive medicine starts to shift to a more preventive and predictive paradigm. Automated analysis of medical images still remains a considerably challenging task mainly because medical images are complex and variant. Moreover, the difference between disease and non-disease cases is often subtle. Therefore, accurate automated analysis of medical images requires the development of innovative and sophisticated computational models that are adaptive and scalable.

Evolutionary approaches to medical image analysis, often coupled with other computational intelligence methodologies, have demonstrated to be very promising. This special session aims at promoting research on the development and application of evolutionary and learning techniques for medical image understanding and analysis.

Relevant topics include but are not limited to: