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Bone age calculation method based on probability

A calculation method and probability technology, applied in the field of probability-based bone age calculation, can solve the problem of low accuracy of grade classification, and achieve the effects of reducing errors, improving accuracy, and reducing average errors.

Active Publication Date: 2019-07-02
浙江康体汇科技有限公司
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the problem of low classification accuracy of each bone grade of the left hand, and overcome the problem of integer distribution of bone grades in the CHN method, and provide an accurate bone age calculation method

Method used

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Embodiment

[0020] This embodiment provides a method for calculating bone age based on probability, comprising the following steps:

[0021] Step 1. Select a widely used deep learning network model classifier according to the actual situation, and use the 14 bone-level wrist bones that have been calibrated by a high-level expert group to train a deep learning network model classifier;

[0022] Step 2, for a full-hand X-ray film, obtain images of 14 bones through automatic and manual cutting, and label the 14 bones from 1 to 14;

[0023] The 14 bones mentioned are: radius, palm 1, palm 3, palm 5, near 1, near 3, near 5, middle 3, middle 5, far 1, far 3, far 5, capitate, hamate ,

[0024] Step 2, for the i-th bone, the value range of i is 1, 2, ..., 14, use the corresponding trained deep learning network model classifier to obtain its probability distribution vector [p1, p2], the described Probability vectors p1 and p2 are the attribution probabilities of the two most likely grades; for e...

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Abstract

The invention discloses a bone age calculation method based on probability. The method comprises the following steps: by obtaining classification grades and corresponding probabilities of a deep learning model to each bone of a left hand, selecting two grades with the highest possibility and corresponding probabilities, multiplying the normalized probability by the scores corresponding to the bonegrades to obtain respective scores, adding the scores to obtain a final score of the bone, and looking up a table according to a CHN method score table to obtain the bone age. According to the method, errors caused by judgment errors of the output result of the depth model classifier are reduced, the grade boundary between bones is blurred, more reasonable corresponding calculation scores can beobtained for bones with grades difficult to judge, the accuracy of the CHN method is improved, and bone age judgment is closer to a real value.

Description

technical field [0001] The present invention relates to the technical field of bone age grade assessment, in particular, the present invention relates to a method for calculating bone age based on probability. Background technique [0002] Now bone age is an important indicator to reflect the skeletal and physical development of adolescents, and it is widely used in many fields such as medicine, sports, and judicial appraisal. The traditional bone age assessment method is completed by bone age experts who manually read the X-ray images of the wrist bones, which has disadvantages and limitations such as long assessment period, heavy workload, subjectivity, and professional limitations. Therefore, the realization of automatic bone age assessment will reduce the work pressure of bone age experts. [0003] Bone age needs to be determined with the help of specific images of bones in x-rays. Usually an X-ray of the left wrist is taken, and the doctor observes the development deg...

Claims

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Application Information

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IPC IPC(8): G06T7/00A61B6/00
CPCG06T7/0012A61B6/505A61B6/5217G06T2207/20084G06T2207/20081G06T2207/30008
Inventor 毛科技池凯凯宦若虹蔡荣辉
Owner 浙江康体汇科技有限公司
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