Bone Age Assessment Method Based on Improved Residual Network
In order to extract features from hand X images in more detail,this paper proposes a method of bone age assessment based on improved residual network.Based on the TW3 method,combined with lightweight and efficient attention modules,it improves the extraction accuracy of minuscule particle features.Experimental results demonstrate that the method has the Mean Absolute Error(MAE)of 0.422 8 years and 0.434 1 years for males and females on the dataset provided by a tertiary hospital in Xi'an.Within the one-year error range,the accuracy of males and females reaches 93.82%and 93.16%,respectively,significantly improving the accuracy of bone age assessment.
bone age assessmentimproved residual networklightweight and efficient attention moduleTW3
国家科技期刊平台
NSTL
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