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Bone age prediction method and device, electronic equipment and readable storage medium

A prediction method, bone age technology, applied in the field of image processing, can solve problems such as time-consuming and inaccurate

Pending Publication Date: 2020-03-10
TSINGHUA UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, the assessment of bone age in my country is mainly done by doctors manually reading X-ray images, which takes a long time and is not accurate enough.

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  • Bone age prediction method and device, electronic equipment and readable storage medium
  • Bone age prediction method and device, electronic equipment and readable storage medium

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Embodiment Construction

[0043] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0044] The two main existing bone age prediction methods include the atlas method and the scoring method.

[0045]Atlas method: regular epiphyseal X-ray anatomical signs appear in normal children with age: such as the appearance of secondary ossification center, enlargement of epiphyseal nucleus, and shape change; appearance and formation of articular surface; appearance and formation of bony protrusions ; The epiphysis line becomes uniform and narrowed; the epiphysis is partially or completely combined with the metaphysis. According to the above changes, the normal bone age standard, that is, the bone age atlas, is established, and the bone age prediction result is obtained by comparing the X-ray bone map with the skeletal age at...

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Abstract

The invention discloses a bone age prediction method and device based on deep learning, electronic equipment and a storage medium, and relates to the technical field of image processing. The method comprises the following steps of obtaining to-be-predicted X-ray bone maps of a male to-be-predicted object and a female to-be-predicted object; inputting a bone key region extraction model; obtaining aplurality of bone key region graphs of the to-be-predicted object, inputting the bone maturity prediction model to obtain a bone classification result corresponding to the plurality of bone key region graphs of the to-be-predicted object, and calculating the bone classification result through the male bone age prediction model or the female bone age prediction model to obtain a bone age prediction result. By combining an existing bone age scoring method, a plurality of deep learning models are used for predicting an X-ray bone diagram of a to-be-predicted object, a result obtained by each model can be used for clinical explanation, and a prediction result can be rapidly and accurately output.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a bone age prediction method, device, electronic equipment and readable storage medium. Background technique [0002] Bone age prediction has important clinical significance. Clinically, bone age can be used to infer whether the bone development is normal, and the degree of bone development can also be judged according to the closure of the epiphysis. Therefore, it is of great value to diagnose certain diseases, such as endocrine, nutritional disorders and abnormal development; to understand the growth and development status of children, to determine the time of orthopedic surgery; to predict future height; to estimate the maturity of newborns, etc. Provide a legal basis for criminal identification, guessing the birth time of the population, etc. [0003] The traditional bone age assessment method is to take an X-ray of the child's left hand, and then calculate ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06N3/04G06N3/08G06K9/62
CPCG06T7/0012G06T7/11G06N3/084G06T2207/10116G06T2207/20076G06T2207/30008G06N3/045G06F18/2415
Inventor 陈挺刘晓鸿王光宇
Owner TSINGHUA UNIV
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