A Cell Counting Method Based on Skeleton Extraction

A technology for cell counting and skeleton extraction, applied in the field of medical image processing, can solve the problems of separation, cell counting errors, affecting the classification of histopathological microscopic images, etc., and achieves a small amount of calculation, high operation efficiency, and good image segmentation effect. Effect

Active Publication Date: 2021-06-01
NORTHEASTERN UNIV LIAONING
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Problems solved by technology

[0005] Due to the high adhesion of many tissue cells in histopathological images, the "open" operation cannot completely separate them, resulting in wrong cell counts, which in turn affects the classification of histopathological microscopic images

Method used

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  • A Cell Counting Method Based on Skeleton Extraction
  • A Cell Counting Method Based on Skeleton Extraction
  • A Cell Counting Method Based on Skeleton Extraction

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Embodiment Construction

[0034] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0035] Such as figure 1 As shown, the present invention provides a method for counting cells based on skeleton extraction, which specifically includes the following steps:

[0036] Step S1. Obtain the histopathological images to be processed, perform grayscale processing on each image to be processed, and then perform image segmentation on each grayscaled image to obtain the Cell binary image.

[0037] Step S2, performing morphological processing on each cell binary image to obtain a cell binary image in which intracellular holes are filled, cell edge noise and impurity noise are removed.

[0038] Step S3. Perform cytoskeletal processing on each morphologically processed binary image of cells to obtain the number of cytoskeletal nodes in each image. According...

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Abstract

The present invention relates to the technical field of medical image processing, in particular to a method for counting cells based on skeleton extraction, comprising the following steps: step S1, acquiring histopathological images to be processed, and performing grayscale processing on each image to be processed , and then image segmentation is performed on each gray-scaled image to obtain a cell binary image of each image to be processed; step S2, performing morphological processing on each cell binary image to obtain intracellular holes The cell binary image of filling, cell edge noise and impurity noise removal; step S3, performing cytoskeletonization processing on each morphologically processed cell binary image to obtain the number of cytoskeletal nodes in each image , according to the relationship between the number of cytoskeletal nodes and the number of cells in each image, the cell count result of each image to be processed is obtained. The obtained cell counting results have good accuracy, and the method has high operating efficiency.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a method for counting cells based on skeleton extraction. Background technique [0002] Cervical cancer is the most common gynecological malignancy. Although the census of this disease has gradually received attention in recent years, few people go to the hospital for regular checkups in the vast rural areas. There is also a trend of getting younger and younger. Therefore, the histopathological research on cervical cancer is imperative and cannot be delayed. [0003] For a long time, the gap in the level of doctors has been an unavoidable problem. Similarly, the gap in medical level between urban and rural areas still exists. Therefore, it is not difficult to imagine that doctors in some remote areas with backward medical standards or some young and inexperienced doctors must be unable to easily make a judgment on a case. In addition, a doctor has to see more...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/155G06T7/194G06T5/00
CPCG06T5/002G06T7/0012G06T2207/10056G06T2207/30096G06T2207/30242G06T7/11G06T7/136G06T7/155G06T7/194
Inventor 李晨晏宝恩成奕霖薛丹许宁
Owner NORTHEASTERN UNIV LIAONING
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