Bone age prediction method and device, medium and electronic equipment

Abstract

The invention relates to the field of image recognition, and discloses a bone age prediction method and device, a medium and electronic equipment. The method comprises the steps: acquiring to-be-predicted hand bone data; determining the gender of the to-be-predicted hand bone data; according to the gender, inputting the to-be-predicted hand bone data into a convolutional neural network model corresponding to the gender to obtain a predicted bone age output by the convolutional neural network model, wherein the convolutional neural network model is obtained by training in advance based on a triple loss function and a regression loss function. According to the method, the bone age prediction is carried out by utilizing the convolutional neural network model obtained by training based on thetriple loss function and the regression loss function, so that the bone age prediction efficiency is improved, the bone age prediction cost is reduced, and the bone age prediction accuracy is improved. In addition, the hand bone data of the corresponding gender is predicted specially by using the convolutional neural network model of the specific gender, so that the bone age prediction accuracy isfurther improved.

Description

technical field [0001] The present disclosure relates to the technical field of image recognition, and in particular to a bone age prediction method, device, medium and electronic equipment. Background technique [0002] During the process of human physical development, there are obvious differences in the size and shape of bones in different periods. Under normal development, the age of bones (bone age) and the real age are very small. Once the difference is found to be large, it indicates physical development. There may be some underlying disease that interferes with the normal development of bones. At present, the process of assessing the maturity of skeletal development of adolescents is performed by physicians with relevant experience. By comparing the X-ray images of the left hand with the standardized atlas of skeletal development, the age of the bones can be estimated. The assessment process will take quite a long time General physicians can control the evaluation e...

AI Technical Summary

Problems solved by technology

However, the traditional evaluation of bone age has the problems of large evaluation errors by general physicians, long evaluation time and low efficiency.

Images