Comput Math Methods Med - Liver segmentation based on Snakes Model and improved GrowCut algorithm in abdominal CT image.

Tópicos

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Resumo

A novel method based on Snakes Model and GrowCut algorithm is proposed to segment liver region in abdominal CT images. First, according to the traditional GrowCut method, a pretreatment process using K-means algorithm is conducted to reduce the running time. Then, the segmentation result of our improved GrowCut approach is used as an initial contour for the future precise segmentation based on Snakes model. At last, several experiments are carried out to demonstrate the performance of our proposed approach and some comparisons are conducted between the traditional GrowCut algorithm. Experimental results show that the improved approach not only has a better robustness and precision but also is more efficient than the traditional GrowCut method.

Resumo Limpo

novel method base snake model growcut algorithm propos segment liver region abdomin ct imag first accord tradit growcut method pretreat process use kmean algorithm conduct reduc run time segment result improv growcut approach use initi contour futur precis segment base snake model last sever experi carri demonstr perform propos approach comparison conduct tradit growcut algorithm experiment result show improv approach better robust precis also effici tradit growcut method

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