Cerebrospinal fluid cell feature extraction method based on gray level co-occurrence matrix
A gray-scale co-occurrence matrix and feature extraction technology, applied in image analysis, image enhancement, instruments, etc., can solve the problems of not being able to identify plasma cells and neutrophils, and not extracting the texture features of autoimmune encephalitis cerebrospinal fluid.
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[0037] figure 1 , figure 2 An example of dividing lymphocytes from other cells.
[0038] image 3 , Figure 4 An image of lymphocytes and neutrophils manually marked by a doctor, with thick arrows marking lymphocytes and thin arrows marking neutrophils. After comparison, it can be found that all neutrophils can be relatively completely segmented by using the shape feature.
[0039] Figure 5 It is a segmented image, plasma cells are surrounded by green, lymphocytes are surrounded by red, Image 6 In , thick arrows point to lymphocytes, and stars mark plasma cells.
[0040] Using the gray level co-occurrence matrix for feature extraction, the four texture features of energy, entropy, contrast and correlation are calculated. Calculate energy, entropy, variance, correlation.
[0041] A total of ten sets of data for lymphocytes, eleven sets of data for neutrophils, three sets of data for plasma cells, and one set each for cryptococci and eosinophils were calculated. Tabl...
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