人工智能辅助内镜下识别食管癌研究进展
Research Progress on Artificial Intelligence-Assisted Endoscopic Identification of Esophageal Cancer
DOI: 10.12677/acm.2024.1492521, PDF,   
作者: 王 浩, 刘 虹, 张贝贝, 李国栋*：山东第一医科大学第一附属医院(山东省千佛山医院)消化内科，山东 济南
关键词: 食管癌；人工智能；深度学习；消化内镜；Esophageal Cancer； Artificial Intelligence； Deep Learning； Digestive Endoscopy
摘要: 食管癌目前是我国最常见的癌症之一，食管癌及时的发现及治疗能明显延长患者生存期。随着计算机技术的日益进步，越来越多基于深度学习技术的计算机辅助诊断模型应用于消化系统疾病的研究当中。目前基于深度学习技术建立的模型已经部分应用于消化内镜下辅助诊断食管癌，并且获得较高诊断率，本文就目前的研究进展做出总结，并对其未来方向做出预测。
Abstract: Esophageal cancer is currently one of the most common cancers in China, and timely detection and treatment of esophageal cancer can significantly prolong the survival of patients. With the advancement of computer technology, more and more computer-aided diagnostic models based on deep learning technology are applied to the study of digestive diseases. At present, the model based on deep learning technology has been partially applied to the auxiliary diagnosis of esophageal cancer under digestive endoscopy, and has obtained a high diagnosis rate. This article reviews the current research progress and looks forward to its future.
文章引用：王浩, 刘虹, 张贝贝, 李国栋. 人工智能辅助内镜下识别食管癌研究进展[J]. 临床医学进展, 2024, 14(9): 715-720. https://doi.org/10.12677/acm.2024.1492521

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