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Uterine Fibroid Segmentation using Genetic Algorithm with an Ultrasound Image

J. Saranya, S. Malarkhodi

Abstract


Medical image segmentation is an important task in medical image analysis. The challenges in medical image segmentation arise due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. The segmentation of ultrasound image is a difficult task as it suffers from speckle noise. The main aim of this work is to segment fibroid in the uterus. It uses the genetic algorithm which have been found to be effective in the domain of medical image segmentation. The performance of this method is also commendable.

Keywords


Active Contour, Genetic Algorithm, Medical Image, Segmentation, Texture

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