Medical Image Segmentation using Genetic Algorithm

Segmentation is used as the first and the most important phase in the recognition and treatment of a disease in analyzing medical images like MRI images. It is challenging due to poor contrast and artifacts that result in missing or diffuse organ/tissue boundaries. In this paper, we will discuss different ways to automate the segmentation of medical images. We except further improvements can be achieved by incorporating as much prior information as possible (e.g. texture, shape, & spatial location of organs) into a single framework.

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