Multicenter Computer-Aided Diagnosis for Lymph Nodes Using Unsupervised Domain-Adaptation Networks Based on Cross-Domain Confounding Representations

To achieve the robust high-performance computer-aided diagnosis systems for lymph nodes, CT images may be typically collected from multicenter data, which cause the isolated performance of the model based on different data source centers. The variability adaptation problem of lymph node data which i...

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Detalles Bibliográficos
Autores principales: Qin, RuoXi, Zhang, Huike, Jiang, LingYun, Qiao, Kai, Hai, Jinjin, Chen, Jian, Xu, Junling, Shi, Dapeng, Yan, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239501/
https://www.ncbi.nlm.nih.gov/pubmed/32454880
http://dx.doi.org/10.1155/2020/3709873

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239501/
https://www.ncbi.nlm.nih.gov/pubmed/32454880
http://dx.doi.org/10.1155/2020/3709873

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