Multi-characteristic reinforcement of horizontally integrated TENet based on wrist bone development criteria for pediatric bone age assessment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04633-1.pdf
Reference47 articles.
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4. Zhao X, Zhang M, Cheng M, Yue X, Li W, Li C (2022) Construction of artificial intelligence system of carpal bone age for chinese children based on china-05 standard. Med Phys 49(5):3223–3232
5. Wang H, Yao M, Jiang G, Mi Z, Fu X (2023) Graph-collaborated auto-encoder hashing for multiview binary clustering. IEEE Trans Neural Netw Learn Syst :1–13. https://doi.org/10.1109/TNNLS.2023.3239033
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. MSADCN: Multi-Scale Attentional Densely Connected Network for Automated Bone Age Assessment;Computers, Materials & Continua;2024
2. KDALDL: Knowledge Distillation-Based Adaptive Label Distribution Learning Network for Bone Age Assessment;IEEE Access;2024
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