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A microscopic image analysis method of a cervical cancer tissue based on a graph theory

A technology of microscopic images and analysis methods, applied in the field of image analysis, can solve problems such as affecting the structure, and achieve the effect of enhancing the accuracy, speeding up the time of diagnosis, and improving the accuracy of diagnosis

Active Publication Date: 2019-02-26
NORTHEASTERN UNIV
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Problems solved by technology

[0008] (1) In the existing technology, when the watershed algorithm solves overlapping and cohesive nuclei, it will produce over-segmentation, which is different from the actual shape of the cells. It will be very obvious in the tissue boundary a...

Method used

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  • A microscopic image analysis method of a cervical cancer tissue based on a graph theory
  • A microscopic image analysis method of a cervical cancer tissue based on a graph theory
  • A microscopic image analysis method of a cervical cancer tissue based on a graph theory

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Embodiment Construction

[0043] 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.

[0044] refer to image 3 , in this embodiment, a method for analyzing microscopic images of cervical cancer tissue based on graph theory is provided, which includes the following steps:

[0045] Step A: collect microscopic image data of cervical cancer tissue, use different algorithms to segment each original image collected, and fuse the segmentation results to obtain a fused image.

[0046] In step A, the original image formats collected include *.bmp, *.BMP, *.dip, *DIP, *.jpg, *.JPG, *.jpeg, *JPEG, *.jpe, *.JPE, *.jfif, *JFIF, *.gif, *.GIF, *.tif, *.TIF, *tiff, *.tiff, *.png, *.PNG, etc.: For example, the experimental dataset used in this patent contains 360 images, each image size is 2560x1920 pixels.

[0047] Segmenting each original image collected in...

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Abstract

The invention belongs to the technical field of image analysis, in particular to a microscopic image analysis method of a cervical cancer tissue based on a graph theory. The microscopic image analysismethod of the cervical cancer tissue based on the graph theory includes the following steps: collecting microscopic image data of cervical cancer tissue, segmenting each original image by different algorithms, and fusing the segmentation results to obtain fused images; according to the morphological and textural features of the nuclei, the fusion images were classified into three categories: highly differentiated, moderately differentiated and poorly differentiated; comprehensive assessment of classification results are performed. The present application uses fused segmentation algorithms toenhance accuracy, form a complete classification process, and make classification evaluations. Pathological images of cervical cancer can be divided into three types: well differentiated, moderately differentiated and poorly differentiated according to the spatial structure of the nucleus, which can be used in the daily practice of histologists to speed up the time of diagnosis and improve the accuracy of diagnosis.

Description

technical field [0001] The invention belongs to the technical field of image analysis, in particular to a method for analyzing microscopic images of cervical cancer tissue based on graph theory. Background technique [0002] In the prior art, the watershed algorithm is used to segment the microscopic image of cervical cancer tissue to locate the position of the cell nucleus. Such as figure 1 As shown, the method consists of three steps from left to right: [0003] (a) Obtaining the original microscopic slice image of cervical cancer tissue; [0004] (b) localization of cell nuclei in tissue images using an automatic thresholding method; [0005] (c) For overlapping nuclei in the image, the occluded nuclei are segmented using the watershed transform. [0006] In the prior art, the center of the located cell nucleus is used as a seed point, and quantitative indicators are extracted for analysis by using the spatial arrangement of cancerous cell nuclei on the fine histopath...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/12G06T7/13G06T7/136G06K9/62
CPCG06T7/0012G06T7/12G06T7/13G06T7/136G06T2207/20221G06T2207/20081G06T2207/10056G06T2207/30096G06F18/23213
Inventor 李晨胡志杰孙洪赞张乐许宁钱唯马贺陈昊薛丹尚麟静
Owner NORTHEASTERN UNIV
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