Cell cluster identification method, device and electronic device
An identification method and cell cluster technology, which are applied in the field of cell cluster identification methods, devices and electronic equipment, and can solve the problems of difficult cell cluster identification and complex causes of cell clusters.
Active Publication Date: 2021-05-18
玖壹叁陆零医学科技南京有限公司
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Problems solved by technology
Due to the complex causes of cell clusters, it is difficult to quickly identify cell clusters with existing technologies
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[0125] As an implementation manner, in the current detection rule, a dilation-corrosion-expansion operation is performed on the current second binarized image through the current iteration coefficient to obtain a new second binarized image.
[0126] In one example, four sets of iteration coefficients are used to determine cell densities at lower density levels. The four sets of iteration coefficients are: [11, 14, 3], [7, 10, 3], [3, 6, 3], [0, 3, 3], the size of the kernel used is 3×3, each A set of iteration coefficients is used to dilate-erode-dilate the second binarized image. 0 in the iteration coefficient indicates that no corresponding operation is performed, for example, the iteration coefficient [0, 3, 3] indicates that only the erosion-expansion operation is performed.
[0127] A complete iterative detection process will be introduced below in combination with the aforementioned four sets of iterative coefficients.
[0128] In the initial case, the default cell den...
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The present application provides a cell cluster identification method, device, and electronic equipment. The cell cluster identification method includes: obtaining scanned images of cervical liquid-based cells to be tested at different scanning magnifications; obtaining the first grayscale image, the second grayscale image based on the scanned image Two grayscale images, the scanning magnification corresponding to the first grayscale image is the first magnification, and the scanning magnification corresponding to the second grayscale image is the second magnification; based on the first grayscale image, the target binarization threshold is obtained; according to the target Process the second grayscale image with the binarization threshold to obtain the target binary image; determine the candidate area according to the target binary image and the first grayscale image; identify the image with the highest scanning magnification in the scanned image according to the candidate area, and obtain Cell cluster identification results. In this way, the problem that it is difficult to quickly identify cell clusters in the prior art can be improved.
Description
technical field [0001] The present application relates to the field of medical cell image processing, in particular, to a cell cluster identification method, device and electronic equipment. Background technique [0002] With the rapid development of medical career, more and more people are devoted to cervical cytology research. However, in practice most studies have focused on single cells, with less analysis of cell clusters. [0003] For the cell clusters in cervical liquid-based cell images, the causes of various cell clusters are complex, some of which are real cell clusters, and some are false cell clusters caused by improper processing of raw data. Due to the complex causes of cell clusters, it is difficult to quickly identify cell clusters with existing technologies. Contents of the invention [0004] The purpose of the embodiments of the present application is to provide a cell cluster identification method, device and electronic equipment, so as to improve the ...
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IPC IPC(8): G06K9/00G06K9/62G06T7/00
CPCG06T7/0012G06T2207/10056G06T2207/10024G06T2207/20024G06T2207/20081G06T2207/20084G06T2207/30024G06V20/698G06F18/241
Inventor 孙明建常江龙郎彬周超马威吴云松
Owner 玖壹叁陆零医学科技南京有限公司