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Method, device and electronic device for identifying levator ani hiatus

A hole and key position technology, applied in the field of data processing, can solve problems such as limiting the size of the sensing area and limited classification performance

Active Publication Date: 2020-04-21
SHENZHEN WISONIC MEDICAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Convolution Neural Networks (CNNs) have a good application in foreground classification, but when used for segmentation, it is necessary to provide regions of interest to assist classifier detection, and the patch-size limits the size of the perceptual region, so only local features of the image can be extracted. lead to limited classification performance

Method used

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  • Method, device and electronic device for identifying levator ani hiatus
  • Method, device and electronic device for identifying levator ani hiatus
  • Method, device and electronic device for identifying levator ani hiatus

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Embodiment 1

[0027] According to an embodiment of the present invention, an embodiment of a method for identifying a levator ani hiatus is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions , and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0028] figure 1 It is a flow chart of a method for identifying a levator ani hiatus according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0029] Step S102, process the ultrasound image of the levator ani hiatus LH to be processed by the improved fully convolutional neural network to obtain an LH edge prediction map, wherein the fully convolutional neural network is a neural network preset in the context model;

[0030]In the ...

Embodiment 2

[0138] The embodiment of the present invention also provides an identification device for the levator ani hiatus, which is mainly used to implement the identification method for the levator ani muscle hole provided by the above content of the embodiment of the present invention, and the following implements the present invention The identification device for the levator ani muscle hiatus provided by the example is described in detail.

[0139] Figure 6 It is a schematic diagram of an identification device for a levator ani muscle hole according to an embodiment of the present invention, such as Figure 6 As shown, the identification device of the levator ani muscle hole mainly includes: a first processing unit 10, a second processing unit 20, an identification unit 30 and a determination unit 40, wherein,

[0140] The first processing unit 10 is used to process the ultrasonic image of the levator ani muscle hiatus LH to be processed through the improved fully convolutional n...

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Abstract

The invention provides a method, device and electronic equipment for identifying a levator ani hiatus, and relates to the technical field of data processing. Processing to obtain the LH edge prediction map, wherein the fully convolutional neural network is a neural network preset in the context model; the LH edge prediction map is processed based on the active contour model to obtain a segmented image of the ultrasound image, wherein the segmented image includes The outline of the levator ani muscle; identifying the key position points of the LH in the segmented image; determining the parameters of the LH based on the key position points, so as to realize the identification of the LH, and the present invention alleviates the problem of cutting the LH ultrasonic image by using the traditional method Technical issues with low segmentation accuracy.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method, device and electronic equipment for identifying a levator ani hiatus. Background technique [0002] Pelvic floor ultrasound has the advantages of real-time imaging, low cost, and no radiation, and has become the main imaging method for pelvic floor diseases. During the processing of pelvic floor ultrasound, a trackball is usually used to manually trace the contour of the levator ani muscle and measure its parameters; however, manual measurement is seriously affected by subjective experience, and the measurement steps are cumbersome, time-consuming, and have large errors. In response to this problem, experts in related fields have attempted to measure LH parameters using a fully automatic measurement method. However, the automatic segmentation of pelvic floor ultrasound images by computer-aided means faces the following challenges: the noise interference such as...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/12G06K9/62
CPCG06T7/0012G06T7/12G06T2207/20081G06T2207/10132G06F18/285G06F18/2135G06F18/214
Inventor 倪东王娜王慧芳王毅雷柏英汪天富
Owner SHENZHEN WISONIC MEDICAL TECH CO LTD
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