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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.

Pending Publication Date: 2021-04-09
NORTHEASTERN UNIV
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Problems solved by technology

It can segment intact cells but cannot identify plasma cells, lymphocytes, neutrophils in cerebrospinal fluid; and does not extract texture features of cerebrospinal fluid of autoimmune encephalitis

Method used

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  • Cerebrospinal fluid cell feature extraction method based on gray level co-occurrence matrix
  • Cerebrospinal fluid cell feature extraction method based on gray level co-occurrence matrix
  • Cerebrospinal fluid cell feature extraction method based on gray level co-occurrence matrix

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Embodiment Construction

[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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Abstract

The invention relates to a cell feature extraction method, in particular to a cerebrospinal fluid cell feature extraction method based on a gray level co-occurrence matrix. The invention aims to segment and extract textural features of plasma cells, lymphocytes and neutrophils in autoimmune encephalitis cerebrospinal fluid. The method comprises the step of extracting textural features of plasma cells, lymphocytes and neutrophils in a cerebrospinal fluid image by utilizing a gray-level co-occurrence matrix.

Description

technical field [0001] The invention relates to a cell feature extraction method, in particular to a cerebrospinal fluid cell feature extraction method based on a gray scale co-occurrence matrix. Background technique [0002] At present, cerebrospinal fluid examination is generally based on observation under a microscope. This observation method requires doctors to observe the sample repeatedly and carefully under a microscope, which is time-consuming and labor-intensive. In diagnosis, the rate of misdiagnosis and missed diagnosis is relatively high, which may delay the diagnosis of patients. The timing of treatment affects the improvement of prognosis. Moreover, autoimmune encephalitis is highly similar to viral encephalitis in terms of clinical symptoms, which further increases the difficulty of diagnosis. [0003] The Chinese patent "CN110633676A A method for automatically identifying image information of cerebrospinal fluid cells" relates to a method for automatically i...

Claims

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Application Information

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IPC IPC(8): G06T7/45G06T7/11G06T7/136G06T5/00G06T5/20
CPCG06T7/45G06T7/11G06T7/136G06T5/20G06T2207/10024G06T2207/20152G06T2207/30004G06T5/70
Inventor 白文鹤冯天元刘维宾宋雨朦张昊男代茵
Owner NORTHEASTERN UNIV
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