Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study-Reference-Cited by-同舟云学术

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Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study

Published:2019-12 Issue:12 Volume:20 Page:1645-1654
ISSN:1470-2045
Container-title:The Lancet Oncology
language:en
Short-container-title:The Lancet Oncology

Author:

Luo Huiyan,Xu Guoliang,Li Chaofeng,He Longjun,Luo Linna,Wang Zixian,Jing Bingzhong,Deng Yishu,Jin Ying,Li Yin,Li Bin,Tan Wencheng,He Caisheng,Seeruttun Sharvesh Raj,Wu Qiubao,Huang Jun,Huang De-wang,Chen Bin,Lin Shao-bin,Chen Qin-ming,Yuan Chu-ming,Chen Hai-xin,Pu Heng-ying,Zhou Feng,He Yun,Xu Rui-hua

Funder

National Key R&D Program of China

Natural Science Foundation of Guangdong Province

Science and Technology Program of Guangdong

Science and Technology Program of Guangzhou

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Oncology

Reference26 articles.

1. Cancer statistics, 2018;Siegel;CA Cancer J Clin,2018

2. Patient information needs in upper gastrointestinal cancer: what patients and their families want to know;Otutaha;ANZ J Surg,2019

3. The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging;Amin;CA Cancer J Clin,2017

4. Proposal of a new stage grouping of gastric cancer for TNM classification: International Gastric Cancer Association staging project;Sano;Gastric Cancer,2017

5. Recommendations for pathologic staging (pTNM) of cancer of the esophagus and esophagogastric junction for the 8th edition AJCC/UICC staging manuals;Rice;Dis Esophagus,2016

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