Web: http://arxiv.org/abs/2102.05424

Sept. 20, 2022, 1:13 a.m. | Jintai Chen, Bohan Yu, Biwen Lei, Ruiwei Feng, Danny Z. Chen, Jian Wu

cs.CV updates on arXiv.org arxiv.org

Bone age assessment is challenging in clinical practice due to the
complicated bone age assessment process. Current automatic bone age assessment
methods were designed with rare consideration of the diagnostic logistics and
thus may yield certain uninterpretable hidden states and outputs. Consequently,
doctors can find it hard to cooperate with such models harmoniously because it
is difficult to check the correctness of the model predictions. In this work,
we propose a new graph-based deep learning framework for bone age assessment …

age arxiv doctor scoring

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