Method and related equipment for determining the developmental grade of carpal bones of the hand

A determination method and hand technology, applied in the field of image processing, can solve problems such as low reliability of bone age prediction results

Active Publication Date: 2020-09-29
INFERVISION MEDICAL TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the regression analysis method only uses the data fitting ability of machine learning to predict the bone age of the hand bone image, and the bone age prediction results obtained in actual use are less reliable

Method used

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  • Method and related equipment for determining the developmental grade of carpal bones of the hand
  • Method and related equipment for determining the developmental grade of carpal bones of the hand
  • Method and related equipment for determining the developmental grade of carpal bones of the hand

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Embodiment Construction

[0065] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0066] like figure 1 As shown, a method for determining the developmental level of the wrist bones of the hand provided in the embodiment of the present invention may include:

[0067] S100. Obtain a feature map of the first hand skeleton image.

[0068] Specifically, such as figure 2 As shown, the first hand skeleton image may be a hand skeleton image obtained through X-ray penetrating irradiation. The scale may be the image s...

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Abstract

The invention discloses a method and related equipment for determining the development level of the hand carpal bones, which can obtain the feature map of the first hand bone image; input the feature map into a preset hand carpal bone development level determination model, and obtain the described The position probability map of the hand carpal point and the development level probability map of the hand carpal point determined by the model output of the hand carpal bone development level; Diagram to determine the developmental grade of the carpal points of the hand. The present invention determines the probability that each position in the hand bone image is the position of the wrist bone point and the probability of determining the development level of each position through the determination model of the hand bone development level, thereby determining the development level of each hand bone point in the hand bone image The technical means overcomes the technical problem of low reliability of the existing bone age prediction method, and then achieves the technical effect of scientifically determining the bone age.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for determining the development level of wrist bones of a hand and related equipment. Background technique [0002] Today, users can determine a client's biological age by calculating the client's bone age. Bone age has application value in many fields. For example: Combined with the customer's bone age, the customer's height can be predicted. At the same time, bone age also has important reference value in athlete selection and judicial judgment. [0003] The existing technology can predict the bone age in the hand skeleton image through a simple regression analysis method. However, the regression analysis method only uses the data fitting ability of machine learning to predict the bone age of the hand bone image, and the reliability of the bone age prediction results obtained in actual use is low. Contents of the invention [0004] In view of the above problems, t...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/246G06N3/04G06N3/08G06F17/18
CPCG06T7/0012G06T7/246G06N3/08G06F17/18G06T2207/30008G06N3/045
Inventor 周越张欢王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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