A high-grade cervical intraepithelial neoplasia discrimination method based on fuzzy reasoning

A technology of fuzzy reasoning and discriminative method, applied in the field of discriminative cervical intraepithelial neoplasia, can solve problems such as misjudgment

Active Publication Date: 2021-10-01
NANCHANG HANGKONG UNIVERSITY
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Problems solved by technology

Since the traditional method is to determine the lesion grade by observing the picture with the naked eye, it is not only slow, but also may cause misjudgment

Method used

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  • A high-grade cervical intraepithelial neoplasia discrimination method based on fuzzy reasoning
  • A high-grade cervical intraepithelial neoplasia discrimination method based on fuzzy reasoning
  • A high-grade cervical intraepithelial neoplasia discrimination method based on fuzzy reasoning

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Embodiment Construction

[0034] The overall flow of the method used in this paper is shown in Figure (1). An important basis for judging the occurrence of high-grade CIN is the obvious acetowhite reaction area in the images after the acetic acid test, so in order to accurately compare the changes in the grayscale and texture features of the same cervical area, it is necessary to compare the images before and after the acetic acid test. Cervical images were registered.

[0035]

[0036] 2.2 Image Segmentation

[0037] Image segmentation is mainly composed of two links, which are cervical region segmentation and mirror reflection region segmentation.

[0038] Since the original colposcopy image inevitably includes irrelevant content such as dilator and vaginal wall, the main purpose of image segmentation is to remove irrelevant objects from the original image to segment the position of the cervical region. Through observation, it can be found that the characteristics of the cervical region in the c...

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Abstract

The invention discloses a high-grade cervical intraepithelial neoplasia discrimination method based on fuzzy reasoning, which includes feature extraction and fuzzy reasoning after image registration and segmentation. Through the registration and segmentation processing of the cervical image, some features describing the image texture of the target area can be obtained, and three of the feature values ​​are selected as three input quantities, and these three input quantities are added to the fuzzy inference algorithm. A series of non-quantitative reasoning can quickly and accurately determine whether there is a high-grade neoplasia in the cervical epithelium.

Description

technical field [0001] The patent of the present invention relates to a method for distinguishing cervical intraepithelial neoplasia, in particular to a method for distinguishing high-grade cervical intraepithelial neoplasia based on fuzzy reasoning. Background technique [0002] Cervical intraepithelial neoplasia, or cervical cancer, is the third most common malignant tumor in women worldwide after breast cancer and colorectal cancer, and the second most common malignant tumor in developing countries after breast cancer Cervical cancer is the most common malignant tumor of the female reproductive tract. It is difficult to detect cervical cancer in poverty-stricken areas with low medical level and poor conditions. Because the traditional method is to determine the lesion grade by observing the picture with the naked eye, it is not only slow, but also may cause misjudgment. In order to allow patients to receive timely treatment, we can use modern technology to detect the dis...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/30
CPCG06T7/0012G06T2207/30096G06T7/30
Inventor 刘君吴涛杜洪威陆晗
Owner NANCHANG HANGKONG UNIVERSITY
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