A deep learning model and human-machine fusion for prediction of EBV-associated gastric cancer from histopathology

Epstein–Barr virus-associated gastric cancer (EBVaGC) shows a robust response to immune checkpoint inhibitors. Therefore, a cost-efficient and accessible tool is needed for discriminating EBV status in patients with gastric cancer. Here we introduce a deep convolutional neural network called EBVNet...

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Detalles Bibliográficos
Autores principales: Zheng, Xueyi, Wang, Ruixuan, Zhang, Xinke, Sun, Yan, Zhang, Haohuan, Zhao, Zihan, Zheng, Yuanhang, Luo, Jing, Zhang, Jiangyu, Wu, Hongmei, Huang, Dan, Zhu, Wenbiao, Chen, Jianning, Cao, Qinghua, Zeng, Hong, Luo, Rongzhen, Li, Peng, Lan, Lilong, Yun, Jingping, Xie, Dan, Zheng, Wei-Shi, Luo, Junhang, Cai, Muyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120175/
https://www.ncbi.nlm.nih.gov/pubmed/35589792
http://dx.doi.org/10.1038/s41467-022-30459-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120175/
https://www.ncbi.nlm.nih.gov/pubmed/35589792
http://dx.doi.org/10.1038/s41467-022-30459-5

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