Prostate Boundary Detection from Ultrasound Images using Ant Colony Optimization

Prostate Cancer & diseases is quite common in elderly men. Early detection of prostate cancer is very essential for the success of treatment. In the diagnosis & treatment of prostate diseases, prostate boundary detection from sonography images plays a key role. However, because of the poor image quality of ultra sonograms, prostate boundary detection is still difficult & challenging task & no efficient & consistent solution has yet been found. For improving the efficiency, they need is to automate the boundary detection process for which number of methods has been proposed. In this paper, a new method based on Ant Colony Optimization is proposed, which will increase efficiency & minimize user involvement in prostate boundary detection from ultrasound images..

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