An automatic segmentation method for thyroid ultrasound images based on radial basis neural network

A technology based on neural network and ultrasound images, applied in the field of automatic segmentation of thyroid ultrasound images based on radial basis neural network, can solve the time-consuming training process and other problems, achieve good classification effect, high discrimination ability, and improve performance

Active Publication Date: 2022-05-24
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

The advantage of the neural network is that it can automatically find the outline of the thyroid gland. The disadvantage is that the training process is time-consuming and requires a huge database

Method used

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  • An automatic segmentation method for thyroid ultrasound images based on radial basis neural network
  • An automatic segmentation method for thyroid ultrasound images based on radial basis neural network
  • An automatic segmentation method for thyroid ultrasound images based on radial basis neural network

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Embodiment Construction

[0081] The following in conjunction with embodiments, the present invention will be further described in detail, but embodiments of the present invention is not limited thereto.

[0082] as Figure 1 As shown, the present embodiment of a radial base neural network based thyroid ultrasound image automatic segmentation method, comprising the following steps:

[0083] (1) Enter the original image, as shown in Figure 2(a);

[0084] (2) Pre-processing of the original image;

[0085] (2-1) The original image is noise-reduced using adaptive weight median filtering (AWMF), and the results of the filtering are as shown in Figure 2(b);

[0086] AWMF calculates the weight w for each pixel in the area by counting the local area i，j 。 For the region template of M×M, the point weight coefficient w at the position (i,j). i，j It can be defined as follows:

[0087]

[0088] μ of them x，y and The average of the pixel grayscale values and the variance within the template area, respectively, are th...

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Abstract

The invention discloses an automatic segmentation method of thyroid ultrasound images based on radial basis neural network. The method includes the following steps: (1) preprocessing the original thyroid ultrasound image; (2) feature extraction; (3) using the features extracted in step (2) to construct a radial basis neural network, and using the constructed neural network The network performs image segmentation; (4) performs region restoration on the segmented thyroid region. The segmentation result obtained by the invention is accurate, the segmentation process does not need manual participation, and the automatic segmentation of thyroid ultrasound images is truly realized.

Description

Technical field [0001] The present invention belongs to the technical field of ultrasound image processing, in particular relates to a radial base neural network based on the thyroid ultrasound image automatic segmentation method, can be applied to medical ultrasound instruments, improve the performance of the device. Background [0002] The thyroid gland is an important endocrine organ in the human body that secretes thyroid hormones to control the rate at which energy is used, to make proteins, and to regulate the body's sensitivity to other hormones. In recent years, there has been a gradual trend of increase in thyroid diseases, and the incidence of thyroid cancer is increasing at a rate of 4% per year. The study of the thyroid gland facilitates a better understanding of the thyroid gland and the analysis of the state and mechanisms of the thyroid gland. Ultrasound technology is an important way to detect and study the thyroid gland, the study of the thyroid gland, first of a...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/40G06T7/11
CPCG06T5/40G06T7/11G06T2207/10132G06T5/70
Inventor 陈俊颖游海军
Owner SOUTH CHINA UNIV OF TECH
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