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Bone age prediction method and system based on deep learning

A technology of deep learning and prediction methods, applied in image data processing, instruments, calculations, etc., can solve problems such as poor accuracy, and achieve the effect of reducing workload, improving stability and accuracy

Inactive Publication Date: 2019-07-12
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the poor accuracy of the existing artificial bone age assessment methods, the purpose of the present invention is to provide a bone age prediction method and system based on deep learning with high accuracy

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  • Bone age prediction method and system based on deep learning
  • Bone age prediction method and system based on deep learning
  • Bone age prediction method and system based on deep learning

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Embodiment Construction

[0032] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0033] refer to figure 1 and figure 2 , a bone age prediction method based on deep learning, comprising the following steps:

[0034] Step 1: Obtain the adaptive clipping frame size of the target bone according to age, gender, and appearance height;

[0035] Step 2: Carry out automatic cutting according to the size of the cutting frame and the coordinates of the center point of the target bone to obtain the picture of the target bone;

[0036] Step 3: Input the picture obtained in step 2 into the bone development grade classification model for identification, and obtain the predicted development grade of each bone;

[0037] Step 4: Refer to t...

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Abstract

The invention discloses a bone age prediction method based on deep learning. The bone age prediction method comprises the following steps: step 1, obtaining the size of a target bone self-adaptive shear frame according to the age, gender and present height; step 2, performing automatic shearing according to the size of the shear frame and the coordinates of the target bone center point to obtain atarget bone picture; step 3, inputting the picture obtained in the step 2 into a bone development grade classification model for recognition to obtain a predicted development grade of each bone; andstep 4, referring to the score table of each bone development stage of a CHN method and a CHN method bone development maturity score and bone age comparison table to obtain a final bone age predictionresult. The invention also provides a bone age prediction system based on deep learning. The method has better stability and accuracy.

Description

technical field [0001] The present invention relates to the field of image processing and bone age evaluation methods, in particular to a bone age prediction method and system based on deep learning. Background technique [0002] Skeletal age is the characteristic of skeletal development shown by X-ray film, and the maturity of skeletal development expressed in "years", so skeletal age is also called physiological age. It reflects the degree of physical and physiological development by measuring the changes in the shape, structure, size and relationship of bones. The famous British anthropologist Tanner believes that bone age represents the developmental age and physiological maturity of children, and bone age can be used as a "ruler" to measure and measure the growth and development level and maturity of individuals. The most fundamental difference between skeletal age and chronological age is that it exhibits a completely consistent relationship with an individual's physi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/20004G06T2207/20081G06T2207/20084G06T2207/30008
Inventor 吴哲夫王冠众
Owner ZHEJIANG UNIV OF TECH
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