Bone age evaluation method based on feature region grade identification

Abstract

The invention discloses a bone age evaluation method based on feature region grade identification. The method comprises the following steps: segmenting 14 specific bones for bone age evaluation from each whole palm bone; using three data enhancement technologies to expand a data set and increase the generalization ability of the network; and introducing a double-attention convolution model to train each bone to obtain a bone maturation grade evaluation model. Different from a traditional evaluation intelligent model based on the whole palm, the method introduces an attention mechanism to carryout joint analysis on the cut local feature map, and the evaluation accuracy is further improved. The test result is superior to that of a bone age automatic evaluation method based on a whole palm bone image.

Description

technical field [0001] The invention relates to image recognition and deep learning technology, and specifically proposes a bone age assessment method based on a convolutional neural network classification model of a double attention model. Background technique [0002] Bone age assessment is very important to understand the child's growth and development. It is a medical examination performed by pediatricians and pediatric endocrinologists to determine the difference between the child's skeletal bone age and the child's actual age. Bone age assessment can be used in the diagnosis and treatment of growth and endocrine disorders in children and young adults, and it can also help predict the final adult height of children and young people, and it can also help in the diagnosis and treatment of surgical operations involving spinal correction and lower limb balance. In addition to being used for children's growth, it is also widely used in sports, judicial identification and oth...

AI Technical Summary

Problems solved by technology

However, the traditional artificial bone age assessment by doctors has two major disadvantages: 1) The assessment is highly subjective and has low accuracy. Unless it is an expert doctor, the results of different doctors evaluating the bone age of the same X-ray film are often inconsistent, or the results of the same X-ray film are often inconsistent. The results of doctors evaluating the bone age of the same X-ray film at different times are often different; 2) Bone age evaluation requires strong professional knowledge, strict and long-term training, and the evaluation process takes a long time

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