International Journal of Computer Theory and Engineering

Abstract

Image understanding needs to image analysis accurately in medical image engineering. Since segmentation is an effective and fundamental step in the medical image analysis (MIA), many efforts have being done to increase accuracy. One of the promising and fruitful efforts is using the artificial intelligence (AI) methods. This paper proposes a new notation for medical image segmentation (MIS) namely the status quo of AI techniques used to automate MIS. It considers four categories for segmentation methods based on applied AI techniques. These methods can decrease the human intervention gradually as well as showing this development; it tries to full automated segmentation. Each category facilitates the higher level of AI techniques than the previous one does. They are respectively based on Image Processing techniques, Hybrid AI methods, Expert systems development and ultimately registration-based in the multispectral and multi modal imaging.