Bone age assessment (BAA) is an essential topic in the clinical practice of evaluating the biological maturity of children. Because the\nmanual method is time-consuming and prone to observer variability, it is attractive to develop computer-aided and automated\nmethods for BAA. In this paper, we present a fully automatic BAA method. To eliminate noise in a raw X-ray image, we start\nwith using U-Net to precisely segment hand mask image from a raw X-ray image. Even though U-Net can perform the\nsegmentation with high precision, it needs a bigger annotated dataset...............................
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