A siamese network with adaptive gated feature fusion for individual knee OA features grades prediction

@article{Wang2021ASN,
  title={A siamese network with adaptive gated feature fusion for individual knee OA features grades prediction},
  author={Kang Wang and Xin Niu and Yong Dou and Dongxing Xie and Tuo Yang},
  journal={Scientific Reports},
  year={2021},
  volume={11}
}
Grading individual knee osteoarthritis (OA) features is a fine-grained knee OA severity assessment. Existing methods ignore following problems: (1) more accurately located knee joints benefit subsequent grades prediction; (2) they do not consider knee joints’ symmetry and semantic information, which help to improve grades prediction performance. To this end, we propose a SE-ResNext50-32x4d-based Siamese network with adaptive gated feature fusion method to simultaneously assess eight tasks. In… 

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