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Hand epiphysis development grade determination method and related equipment

A hand and epiphysis technology, applied in the field of grade determination methods and related equipment, can solve the problems of low reliability of bone age prediction results and the like

Active Publication Date: 2020-02-28
INFERVISION MEDICAL TECH CO LTD
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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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  • Hand epiphysis development grade determination method and related equipment
  • Hand epiphysis development grade determination method and related equipment
  • Hand epiphysis development grade determination method and related equipment

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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] Such as figure 1 As shown, a method for determining the growth level of the epiphysis 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 size of...

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Abstract

The invention discloses a hand epiphysis development grade determination method and related equipment. The method comprises the steps of obtaining a feature map of a first hand skeleton image; inputting the feature map into a preset hand epiphysis development grade determination model to obtain a position probability map of hand epiphysis points and a development grade probability map of the handepiphysis points output by the hand epiphysis development grade determination model; and determining the development level of the hand epiphysis point according to the position probability graph of the hand epiphysis point and the development level probability graph of the hand epiphysis point. According to the invention, the probability that each position in the hand bone image is an epiphysis point position and the probability that the development level of each position is determined are determined through the hand epiphysis development level determination model, and the development level ofeach hand epiphysis point in the hand skeleton image is determined; according to the technical means, the technical problem that an existing bone age prediction method is low in reliability is solved, and then the technical effect of scientifically determining the bone age is achieved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for determining the growth level of epiphysis 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, the pres...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/73A61B6/00
CPCA61B6/505G06T7/0012G06T7/73G06T2207/10081G06T2207/20076G06T2207/20081G06T2207/20084G06T2207/30008
Inventor 周越张欢王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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