Lung tumor segmentation method for large-area adhesion of lung boundary tissue in CT image
A CT image, large-area technology, applied in the field of lung tumor segmentation, can solve the problem of poor segmentation accuracy of large adhesion-type lung tumors
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[0051] The specific implementation process of the present invention adopts the following computer software and hardware conditions to realize, but is not limited to the following conditions: Lenovo desktop computer, CPU is Pentium Dual-Core CPU E5800@3.20GHz, graphics card is NVIDIA GeForce GT 430GPU, memory 4GB, operation The system is Window 7, and the software programming language uses Matlab 2009.
[0052] The basic process of the lung tumor segmentation method with large-area adhesion of lung border tissue in CT images of the present invention is as follows: figure 1 As shown in the figure, first, according to the image appearance information, the lung parenchyma with large continuity error is segmented by Otsu threshold and morphological opening and closing operation method, and this is used as the input shape. Shape priors are then constructed using a sparse similar shape linear combination model. Then select the deformation curve and its control points on the prior sh...
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