Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer
Medical Image Analysis(2022)
摘要
•The proposed MSDA framework can promote LN metastasis prediction in multi-center learning.•A novel 3D IFPN can effectively extract the domain invariant features of small targets (i.e., LNs).•A novel UDS-GCN is designed to achieves the imbalanced knowledge transfer and class-aware feature alignment across domains.
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关键词
Lymph node metastasis,Multi-source domain adaptation,Feature pyramid network,Domain selection,Graph convolutional network
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