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IET Image Processing
Judging the maturity level of each hand-wrist reference bone is the core issue in bone age assessment. Relying on the superiority of convolutional neural networks in feature representation, deep learning is widely studied for the automatic bone age assessment. However, an efficient but complex deep learning network requests a large dataset with bone-maturitylevel labels for training, restricting its large-scale application in bone maturity classification. For this reason, we transform thedoi:10.1049/ipr2.12273 fatcat:2qqniw3cznadpkvlduhg76pxsu