Method for segmenting adrenal tumor of medical CT (computed tomography) image based on sparse representation
An adrenal tumor, sparse representation technology, applied in the field of image processing, can solve problems such as manual delineation, high initial contour requirements, and segmentation results entering local minima.
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[0078] Carry out the actual CT image test on the segmentation method proposed by the present invention. The initial contour obtained by this method and the manually drawn ellipse contour were used as the initial contour of the level set segmentation method to segment 30 tumor images. Taking the tumor outline manually drawn by doctors as the gold standard, the segmentation results of the two methods were compared with the manually drawn tumor outline. In this method, the binary mapping threshold is set to 0.30.
[0079] The segmentation result comparison parameter adopts the area of overlap (area of overlap, AO ) and accuracy (accuracy, AC ).
[0080] Overlap area AO :
[0081]
[0082] Accuracy AC :
[0083]
[0084] in TP is the true positive rate, FP is the false positive rate:
[0085]
[0086]
[0087] GS , SE Respectively represent the point sets of the gold standard segmentation and level set segmentation results, Indicates the number...
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