Publication
Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence.
Jian Zhou, Guangyu Guo, Jiawen Yao, Qinji Yu, Chunpeng Zheng, Xiaochen Feng, Xianghua Ye, Yongjin Zhou, Pei Yang, Lukas Lambert, Shaojun Zheng, Qiong Li, Yingda Xia, Wenchao Guo, Yi Chen, Mengdi Zhang, Yu Jiang, Dandan Zheng, Jia Ge, Haomiao Qing, Wusong Liu, Peng Zhou, Mei Lan, Lei Wu, Yong Li, Haifeng Wang, Yong Zhou, Junqiang Chen, Liyan Xu, Chenying Lu, Lin Chen, Junwei Han, Chengwei Shao, Wenqiang Wei, Kai Zhang, Jianfeng Zhang, Dingwen Zhang, Jiansong Ji, Na Li, Chuanmiao Xie, Kai Cao, Yuqian Zhao, Ling Zhang, Qifeng Wang
- Source
- PubMed
- Retrieved
- Sep 29, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-PUBMED-20260929-000001
Abstract
Abstract (excerpt)
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The absence of accurate, noninvasive, scalable screening tools keeps early esophageal cancer (EC) detection a global health challenge. Although noncontrast computed tomography (NC CT) is widely accessible, the esophagus is a hollow tubular structure prone to collapse and motion artifacts, making…
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Candidate 1
- cancerMalignant Esophageal Neoplasmdictionary0.60
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