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The segmentation of Lung lesions is a challenging task because of the complexity of lung lesions surroundings. Lung lesions can be categorized into two types: solid and non-solid. Lots of works have been developed previously to segment one of two types, but only a few are proposed to handle two types at the same time and these methods may be over-segmented or sub-segmented. Therefore, in this study,...
Liver segmentation is the fundamental step in computer-aided liver disease diagnosis and surgery planning. In this study, we developed a fully automatic liver extraction scheme based on an adaptive fast marching method (FMM). Firstly, a thresholding operation was applied to remove the ribs, spines and kidneys. Followed by a smooth filter for noise reduction. Secondly, a nonlinear gray scale converter...
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