A deep learning model and human-machine fusion for prediction of EBV-associated gastric cancer from histopathology
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DOI: 10.1038/s41467-022-30459-5
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- Wenying Zhou & Yang Yang & Cheng Yu & Juxian Liu & Xingxing Duan & Zongjie Weng & Dan Chen & Qianhong Liang & Qin Fang & Jiaojiao Zhou & Hao Ju & Zhenhua Luo & Weihao Guo & Xiaoyan Ma & Xiaoyan Xie & , 2021. "Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
- Nikhil Naik & Ali Madani & Andre Esteva & Nitish Shirish Keskar & Michael F. Press & Daniel Ruderman & David B. Agus & Richard Socher, 2020. "Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
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- Xinke Zhang & Zihan Zhao & Ruixuan Wang & Haohua Chen & Xueyi Zheng & Lili Liu & Lilong Lan & Peng Li & Shuyang Wu & Qinghua Cao & Rongzhen Luo & Wanming Hu & Shanshan lyu & Zhengyu Zhang & Dan Xie & , 2024. "A multicenter proof-of-concept study on deep learning-based intraoperative discrimination of primary central nervous system lymphoma," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Darui Jin & Shangying Liang & Artem Shmatko & Alexander Arnold & David Horst & Thomas G. P. Grünewald & Moritz Gerstung & Xiangzhi Bai, 2024. "Teacher-student collaborated multiple instance learning for pan-cancer PDL1 expression prediction from histopathology slides," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
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