Explore chapters and articles related to this topic
Smart connected electronic gastroscope system for gastric cancer screening using multi-column convolutional neural networks
Published in International Journal of Production Research, 2019
Hao Wang, Shuai Ding, Desheng Wu, Youtao Zhang, Shanlin Yang
Gastroscopy is a reliable method for early screening of gastric cancer in clinical practice. However, the detection rates are often less than 15% in developing countries. In this paper, we propose SCEG, a smart connected electronic gastroscopy system that performs dynamic cancer screening in gastroscopy. SCEG is designed to assist gastroscopists in detecting lesions during gastroscopic examinations, which helps reduce miss-diagnoses or misdiagnoses in real time. As shown in Figure 1, a SCEG system contains four main modules: the electronic gastroscope (EG), the all-in-one integrated system (IOS), the endoscopic video management system (EVMS) and the cloud service system for gastric cancer screening (CSS).