Artificial intelligence assisted cytological detection for early esophageal squamous epithelial lesions by using low‐grade squamous intraepithelial lesion as diagnostic threshold-Reference-Cited by-同舟云学术

Artificial intelligence assisted cytological detection for early esophageal squamous epithelial lesions by using low‐grade squamous intraepithelial lesion as diagnostic threshold

Published:2022-06-29 Issue:2 Volume:12 Page:1228-1236
ISSN:2045-7634
Container-title:Cancer Medicine
language:en
Short-container-title:Cancer Medicine

Author:

Yao Bin¹²,Feng Yadong³⁴^ORCID,Zhao Kai⁴,Liang Yan³,Huang Peilin⁵,Zang Juncai²,Song Jie³,Li Mengjie³,Wang Xiaofen³,Shu Huazhong¹,Shi Ruihua³⁴^ORCID

Affiliation:

1. The Laboratory of Image Science and Technology Southeast University Nanjing China

2. Froeasy Technology Development CO., LTD Red Maple Park of Technological Industry Nanjing China

3. Department of Gastroenterology, School of Medicine Zhongda Hospital Southeast University Nanjing China

4. Department of Gastroenterology Jintan First People's Hospital Affiliated to Jiangsu University Changzhou China

5. School of Medicine Zhongda Hospital Southeast University Nanjing China

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cam4.4984

Reference20 articles.

1. Cervical cancer in low and middle‑income countries (Review)

2. The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

3. Cytologic detection of esophageal squamous cell carcinoma and precursor lesions using balloon and sponge samplers in asymptomatic adults in Linxian, China

4. Early esophageal cancer screening in China

5. Visual estimates of nucleus-to-nucleus ratios

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