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Improving the quality of image segmentation in Ultrasound images using Reinforcement Learning
2017
Communications on Advanced Computational Science with Applications
Ultrasound imaging is one of the imaging techniques in medicine in which the images resulted from ultrasonic wave propagation are used for diagnostic applications. Digital processing of these images for reasons is a difficult process due to causes such as noise, same distribution of intensity values, and unknown border of organs from image tissue. In this study, image segmentation and improving image and improving quality of the image segmentation was done during three stages: preprocessing,
doi:10.5899/2017/cacsa-00072
fatcat:t4iknntygzcz7kox7yvujruywe