A method and system for segmenting CD3-positive cell nuclei in immunohistochemical pathological images

A technique of pathological images and immunohistochemistry, applied in the field of image processing, can solve problems such as spending a lot of time and energy

Active Publication Date: 2021-08-20
GUANGDONG GENERAL HOSPITAL
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Problems solved by technology

At present, it takes a lot of time and energy for medical staff to segment, label and count CD3 cells in pathological images. Therefore, a more accurate means of cell segmentation in pathological images is needed to reduce the pressure on medical staff.

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  • A method and system for segmenting CD3-positive cell nuclei in immunohistochemical pathological images
  • A method and system for segmenting CD3-positive cell nuclei in immunohistochemical pathological images
  • A method and system for segmenting CD3-positive cell nuclei in immunohistochemical pathological images

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Embodiment

[0047] like figure 1 As shown, this embodiment provides a method for segmenting CD3-positive cell nuclei in immunohistochemical pathological images, comprising the following steps:

[0048] S1: Color deconvolution is performed on the original RGB-encoded immunohistochemical pathological image, and the two staining channels of hematoxylin (Haematoxylin, H) and diaminobenzidine (3,3'-Diaminobenzidine, DAB) are separated, and only DAB is used Stained CD3-positive cells were segmented;

[0049]In this embodiment, the color deconvolution algorithm is based on the color information acquired by the RGB camera, and based on the specific absorption of the RGB component light of the stain used in the immunohistochemical technique, the effect of each stain on the image is calculated separately, and the deconvolution The product refers to the process of calculating the unknown input with the known output and partial input, where the output is the CD3 staining map, the known input is H=[0...

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Abstract

The invention discloses a method and a system for segmenting CD3 positive cell nuclei in immunohistochemical pathological images. The steps of the method are as follows: color deconvolution is performed on immunohistochemical pathological images to separate staining channels; the images are segmented into irregular pixels by using superpixels block, perform kmeans clustering to distinguish the image background and remove it; perform image segmentation based on morphological features to obtain a preliminarily segmented first region image L1 of the nucleus and the first image C1 to be processed; Local threshold bernsen segmentation and morphological feature segmentation to obtain the segmented second region image L2 of the nucleus and the second image C2 to be processed; the foreground of the second image C2 to be processed is marked, and the watershed algorithm is used to segment the third nucleus of the nucleus. Region image L3; the first region image L1 of the cell nucleus, the second region image L2 of the cell nucleus, and the third region image L3 of the cell nucleus constitute the cell nucleus segmentation image. The invention has high robustness and accurate segmentation, and can meet practical application requirements.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for segmenting CD3-positive cell nuclei in immunohistochemical pathological images. Background technique [0002] CD3 is an important leukocyte differentiation antigen that exists on the surface of almost all T cells and is a membrane antigen that constitutes the T cell antigen receptor (TCR). When an antigen binds to TCR, it participates in the transmission of the signal to the cell, and is an important membrane antigen involved in the discovery of various T cell functions. At present, it takes a lot of time and energy for medical staff to segment, label and count CD3 cells on pathological images. Therefore, a more accurate means of cell segmentation in pathological images is needed to reduce the pressure on medical staff. Contents of the invention [0003] In order to reduce the burden on medical staff and realize automatic segmentation of CD3 ce...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/136G06T7/194
CPCG06T2207/10056G06T7/11G06T7/136G06T7/194
Inventor 刘再毅梁长虹覃杰赵可王瑛陈鑫黄燕琪姚溯李振辉
Owner GUANGDONG GENERAL HOSPITAL
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