Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model-Reference-Cited by-同舟云学术

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Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model

Published:2023-12-15 Issue: Volume:6 Page:4397-4405
ISSN:
Container-title:2023 IEEE International Conference on Big Data (BigData)
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Author:

Gao Minghe¹,Li Chen¹,Zhang Jingyu¹,Chen Haoyuan¹,Hu Weiming¹,Yang Hechen¹,Shi Liyu¹,Jing Yujie¹,Tian Shuaiyi²,Sun Hongzan³,Grzegorzek Marcin⁴,Li Xiaoyan⁵

Affiliation:

1. Northeastern University,College of Medicine and Biological Information Engineering,Shenyang,China

2. Northeastern University,College of Life and Health Sciences,Shenyang,China

3. Shengjing Hospital of China Medical University,Shenyang,China

4. University of Luebeck,Institute of Medical Informatics,Luebeck,Germany

5. Cancer Hospital of China Medical University,Shenyang,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386856.pdf?arnumber=10386856

Reference23 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. The Global Landscape of Esophageal Squamous Cell Carcinoma and Esophageal Adenocarcinoma Incidence and Mortality in 2020 and Projections to 2040: New Estimates From GLOBOCAN 2020

3. Short-Term Outcomes Following Minimally Invasive and Open Esophagectomy: A Population-Based Study from Finland and Sweden

4. Oesophageal cancer incidence in the United States by race, sex, and histologic type, 1977–2005

5. Oesophageal cancer;Jesper;The Lancet,2017

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