Method and device for identifying levator ani muscle hole and electronic device

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: 2018-05-22
SHENZHEN WISONIC MEDICAL TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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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 c

Method used

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  • Method and device for identifying levator ani muscle hole and electronic device
  • Method and device for identifying levator ani muscle hole and electronic device
  • Method and device for identifying levator ani muscle hole and electronic device

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Example Embodiment

[0026] Example one:

[0027] According to an embodiment of the present invention, an embodiment of a method for identifying a levator ani muscle hole is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions And, although the logical sequence is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than here.

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

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

[0030] I...

Example Embodiment

[0138] Embodiment two:

[0139] The embodiment of the present invention also provides a device for identifying a levator ani muscle hole. The device for identifying a levator ani muscle hole is mainly used to implement the method for identifying a levator ani muscle hole provided in the above-mentioned embodiments of the present invention. The following will implement the present invention The identification device of the levator ani muscle hole provided in the example is specifically introduced.

[0140] Image 6 It is a schematic diagram of a device for identifying levator ani muscle hiatus according to an embodiment of the present invention, such as Image 6 As shown, the device for identifying levator ani muscle hiatus mainly includes: a first processing unit 10, a second processing unit 20, an identifying unit 30 and a determining unit 40, among which,

[0141] The first processing unit 10 is used to process the ultrasound image of the levator ani muscle hiatus LH to be processe...

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Abstract

The invention provides a method and device for identifying a levator ani muscle hole and an electronic device and relates to the technical field of data processing. The method comprises a step of processing an ultrasound image of a levator ani muscle hole LH to be processed through a modified full convolutional neural network to obtain an LH edge prediction map, wherein the full convolutional neural network is a neural network set in a context model in advance, a step of processing the LH edge prediction map based on an active contour model and obtaining a segmentation image of the ultrasoundimage, wherein the segmentation image comprises a levator ani muscle contour, a step of identifying a key position point of LH in the segmentation image, and a step of determining parameters of LH based on the key position point to realize the identification of LH. A technical problem of low segmentation precision in the segmentation processing of the LH ultrasound image with a traditional methodis solved.

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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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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