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Ultrasound equipment and ultrasound image analysis method

An ultrasound equipment and image technology, applied in the field of medical images, can solve problems such as inaccurate analysis of lesions, and achieve the effects of accurate classification models, enhanced interpretability, and increased dimensions

Pending Publication Date: 2021-11-30
逸超科技(武汉)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides an ultrasonic device and an ultrasonic image analysis method to solve the problem of inaccurate analysis of lesions in the prior art

Method used

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  • Ultrasound equipment and ultrasound image analysis method
  • Ultrasound equipment and ultrasound image analysis method
  • Ultrasound equipment and ultrasound image analysis method

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Embodiment Construction

[0057] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0058] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not r...

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Abstract

The invention provides ultrasound equipment and an ultrasound image analysis method. The ultrasound equipment comprises an image collection unit which is used for obtaining an image of a to-be-detected area; a first processing unit which is used for inputting the image of the to-be-detected area into a first neural network model to obtain first output data; a feature extraction unit which is used for carrying out image omics feature extraction on an image of a lesion area to obtain image omics features of the lesion area; and a second processing unit which is used for inputting image omics features of the image of the lesion area and image features coded by an encoder in the first neural network model into a second classification model to obtain second output data representing lesion classification or grade of the lesion area. According to the invention, through combination of deep learning image features and omics features, a dimension for describing lesion image features is added, so that a classification model is more accurate, and the interpretability of the model is enhanced to a certain extent.

Description

technical field [0001] The present application relates to the field of medical images, in particular to an ultrasonic device and an ultrasonic image analysis method. Background technique [0002] At present, during routine medical examinations, ultrasound equipment is often used to detect organs in the body or a region to be detected in a certain part of the body. After obtaining ultrasound images, lesion diagnosis can be performed based on the ultrasound images. [0003] In related technologies, after obtaining the ultrasound image detected by the ultrasound equipment, the lesion area can be manually delineated, and then various omics features are extracted by using the omics algorithm, and the lesion area is analyzed according to the extracted omics features. [0004] However, when the above-mentioned method is used for lesion analysis, it is limited by the number of extracted omics features, which will lead to inaccurate analysis results. Contents of the invention [0...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04A61B8/08
CPCG06N3/04A61B8/085A61B8/5215G06F18/213G06F18/241Y02A90/10
Inventor 龙非筱郑浩勒斌
Owner 逸超科技(武汉)有限公司