Tu2004 ARTIFICIAL INTELLIGENCE NETWORK TO AID THE DIAGNOSIS OF EARLY ESOPHAGEAL SQUAMOUS CELL CARCINOMA AND ESOPHAGEAL INFLAMMATIONS IN WHITE LIGHT ENDOSCOPIC IMAGES
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive gastrointestinal cancers with high morbidity and mortality in China. Early detection of ESCC is one of the most important factors for improving the prognosis of the patients. Recently, several studies have reported the effectiveness of artificial intelligence (AI) in detection of early gastric cancer and early esophageal cancer by using high-quality white light images and narrow band images. However, these high-quality white light images and narrow band images along with experienced endoscopists are not always available in most hospitals in China.
Source: Gastrointestinal Endoscopy - Category: Gastroenterology Authors: Dehua Tang, Xuying Wang, Lei Wang, Guoping He, Yiwei Fu, Xianhong Li, Yao Zhang, Huimin Guo, Hao Zhu, Guifang Xu, Xiaoping Zou Tags: Tuesday abstract Source Type: research
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