Bone age evaluation method based on bone and joint quantized-information integration of hand bone X-ray film

Abstract

The invention discloses a bone age evaluation method based on bone and joint quantized-information integration of a hand bone X-ray film. The method comprises the following steps: step 1, collecting picture samples of hand bone X-ray films, and classifying the samples according to genders and age stages to obtain grouping information; step 2, labeling and dividing bone and joint positions of the samples; step 3, inputting preprocessed sample images and real position information into the convolutional neural network to carry out iteration training to obtain position information and feature mapsof bones and joints; step 4, calculating morphological feature parameters of the bones and the joints in the samples; step 5, fusing the feature maps and morphological features of the bones and the joints into mixed feature information, and inputting the same and the grouping information together into a convolutional neural network model for iteration training; and step 6, completing model training, and carrying out bone age evaluation application. By utilizing the invention, a bone age can be more simply, conveniently and quickly evaluated on the premise of reducing human factor interference.

Description

technical field [0001] The invention belongs to the field of medical data mining, and in particular relates to a bone age assessment method based on the integration of quantitative information of bones and joints in X-ray films of hand bones. Background technique [0002] It is generally believed at home and abroad that judging the maturity of a developing individual based on bone age is an effective method, which can reflect the physiological state of the body more comprehensively, is an age description of the bone development process, and represents a specific normal population (race, region, age, etc.). ) in the general state of skeletal development of minors of different ages. Bone age evaluation or bone age identification generally uses X-rays to take X-ray images of the same part of the hand bones of the subject in the same way, and then compares the bone shape in the image with the general bone shape. [0003] Bone age is an important indicator of the maturity of the...

AI Technical Summary

Problems solved by technology

There are more or less errors in reading images through manual reading. With the increase in the amount of readings, doctors will gradually be disturbed by adverse factors such as fatigue and affect the accuracy of evaluation.

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