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A method and device for detecting bone age

A bone age and detection technology, applied in the field of machine learning, can solve problems such as low efficiency, achieve high efficiency, improve efficiency, and improve accuracy

Active Publication Date: 2021-05-18
HANGZHOU YITU MEDIAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to the fact that the prior art relies on manual estimation of bone age based on bone age films, the accuracy is subject to human subjective factors, the image is large, and the efficiency is low. The embodiment of the present application provides a method and device for detecting bone age

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  • A method and device for detecting bone age
  • A method and device for detecting bone age
  • A method and device for detecting bone age

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Embodiment Construction

[0053] In order to make the object, technical solution and beneficial effects of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0054]Bone age: Abbreviation for skeletal age, which needs to be determined with the help of specific images of bones in X-ray imaging. Usually an X-ray of the left wrist is taken, and the doctor observes the development degree of the ossification center of the metacarpophalangine, carpal bone and the lower end of the radius and ulna of the left hand through the X-ray to determine the bone age.

[0055] The technical solution for bone age detection in the embodiment of the present application is suitable for hospitals to detect the bone age of adolescents, providing reference for doctors...

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Abstract

The embodiment of the present application provides a method and device for detecting bone age, which relates to the field of machine learning technology. The carpal region, and then use the classification model to determine the number of ossification centers in the carpal region, and finally determine the bone age of the user to be detected according to the number of ossification centers in the carpal region. Since the number of ossification centers in the wrist region represents different bone age stages, the classification model is used in the embodiment of this application to automatically determine the number of ossification centers in the wrist region, and then the user to be detected is determined according to the number of ossification centers in the wrist region It does not need to judge the bone age subjectively according to the bone age film, which improves the accuracy of bone age detection on the one hand, and improves the efficiency of bone age detection on the other hand.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of machine learning, and in particular to a method and device for detecting bone age. Background technique [0002] "Bone age" is the abbreviation of skeletal age. It is the developmental age obtained by comparing the skeletal development level of adolescents and children with the bone development standard. It can more accurately reflect the maturity of the body than age, height, and weight, and more accurately reflect the individual. level of growth and maturity. [0003] Clinically, the biological age of children can be judged by detecting bone age, the development status of children can be evaluated by the difference between biological age and calendar age, the trend of sexual maturity of children can be understood, the adult height of children can be predicted, etc., and it is widely used in diseases that affect children's growth and development Treatment monitoring is of great...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/136G06N3/08G06N3/04
CPCG06N3/08G06T7/0012G06T7/12G06T7/136G06T2207/30008G06T2207/20081G06T2207/20024G06N3/045
Inventor 傅君芬魏子昆杨忠程王琦
Owner HANGZHOU YITU MEDIAL TECH CO LTD