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

Epstein–Barr virus-associated gastric cancer shows a robust response to immune checkpoint inhibitors. Here the authors introduce a deep convolutional neural network and its fusion with pathologists for predicting it from histopathology.

Bibliographic Details
Main Authors: Xueyi Zheng, Ruixuan Wang, Xinke Zhang, Yan Sun, Haohuan Zhang, Zihan Zhao, Yuanhang Zheng, Jing Luo, Jiangyu Zhang, Hongmei Wu, Dan Huang, Wenbiao Zhu, Jianning Chen, Qinghua Cao, Hong Zeng, Rongzhen Luo, Peng Li, Lilong Lan, Jingping Yun, Dan Xie, Wei-Shi Zheng, Junhang Luo, Muyan Cai
Format: Article
Language:English
Published: Nature Portfolio 2022-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-30459-5