Method for automatically identifying cerebrospinal fluid cell image information
What is AI technical title?
AI technical title is built by Patsnap AI team. It summarizes the technical point description of the patent document.
An automatic identification, cerebrospinal fluid technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of low accuracy, difficult to popularize in a large range, complicated operation and so on
Active Publication Date: 2019-12-31
NORTHEASTERN UNIV LIAONING
View PDF6 Cites 3 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0003]
However, the current technology has the following problems. Doctors judge central nervous system diseases mostly through cytological detection of cerebrospinal fluid, manually judge the type of cells, and count the cells separately. At the same time, doctors use their eyes to see the characteristics of cells. Such a method The operation is complicated and the accuracy is not high, and a lot of subjective factors are involved, and it is not easy to be widely promoted in many places, which is not conducive to the unified research on the pathology of central nervous system diseases
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0057] Please refer to the attached figure 1 And attached image 3 , the present invention provides a method for automatically identifying image information of cerebrospinal fluid cells, comprising:
[0058] Q1, if figure 1 As shown, for pending image 3 The original image of the cerebrospinal fluid cells is shown, and the original image is preprocessed to obtain the preprocessed image.
[0059] Q2. Segment the processed image by using the minimized model to obtain the segmented image of the target cell.
[0060] Wherein, the minimization model is to segment the processed image so that each segmented image contains only one target cell.
[0061] Q3. Extract the features of the target cells in the image.
[0062] This embodiment can extract multiple cell features of the target cells in the image, including: contour perimeter, cell area, cell horizontal width, cell vertical height, and cell grayscale, without relying on manual identification of cell features, and the operat...
Embodiment 2
[0064] Please refer to the attached Figure 2-4 , the present invention provides a method for automatically identifying image information of cerebrospinal fluid cells, comprising:
[0065] A1, such as Figure 4 As shown, this embodiment obtains as image 3The original image of cytological detection of cerebrospinal fluid is shown, wherein the original image in this embodiment includes cell contours, interference contours and obvious impurity contours that are not cell contours; among them, there are single cell contours and overlapping cells in the cell contours Contour; there are closed impurity contours and non-closed impurity contours in the impurity contours; and the interference contour is mainly the noise interference bubble contour caused by noise.
[0066] A2. Based on the acquired original image, perform preprocessing on the original image to obtain a preprocessed image.
[0067] For example, if figure 2 The preprocessing of the original image in the illustrated ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
PUM
Login to View More
Abstract
The invention relates to a method for automatically identifying cerebrospinal fluidcell image information. The method comprises the following steps: preprocessing an original image of cerebrospinal fluid cells to be processed to obtain a preprocessed image; segmenting the processed image by adopting a minimization model to obtain a segmented target cell image, wherein the minimization model is used for segmenting the processed image, so that each segmented image only contains one target cell; and extracting features of target cells in the image. The method can accurately segment the cerebrospinal fluid cells in the acquired cerebrospinal fluid cytology detection image, can automatically extract the characteristics of the cells, and is objective in the extraction result.
Description
technical field [0001] The invention relates to a method for automatically identifying image information of cerebrospinal fluid cells. Background technique [0002] Due to the neuroanatomical structure and the characteristics of cerebrospinal fluid generation and circulation, cytological examination of cerebrospinal fluid can reveal the pathological conditions of various central nervous system diseases such as meninges, inflammatory brain parenchyma, and nerve roots in the subarachnoid space. There is a certain correspondence between CSF cytology and pathological changes of the central nervous system, which is an important basis for the diagnosis of CSF cytology. Cerebrospinal fluid cytology has important diagnostic value for central nervous system inflammatory diseases, including infectious and non-infectious inflammation, as well as tumors and other diseases. [0003] However, the current technology has the following problems. Doctors judge central nervous system diseases...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to View More 
Login to View More