… gastric cancer in endoscopic images. In this study, the constructed CNN detected 92.2% of
gastric cancers in the independent test image set. … small intramucosal gastric cancers that are …

… Accurate diagnosis of early gastric cancer by using endoscopic images is an urgent need
to improve the patient’s poor prognosis. However, recent studies showed that the detection …

… Gastric cancer (GC) is one of the most common cancers and one of the leading causes of
cancer-… , and correlations between imaging and histological features are far from perfect. …

… images of gastric cancer cases, only 29 images from 12 cases were falsely diagnosed as
non-cancer … There were no non-cancer images falsely diagnosed as cancer by the AI-assisted …

… The unfrozen fine-tuning method obtained the best performance, indicating that low-level
and high-level features of natural images might not be suitable for gastric endoscopic images. …

… of AI in gastric cancer imaging. We investigated the role of AI imaging in gastric cancer
diagnosis … for the prognosis of patients with gastric cancer. These prognostic models leverage AI …

… However, image diagnosis of EGC is difficult and subjective because it is prone to cognitive
and technical factors. A remarkable method to improve the diagnostic accuracy is the use of …

… the mortality rate of gastric cancer. Artificial intelligence (AI) technology has been widely
used in the field of gastric cancer, including diagnosis, prognosis, and image analysis. Eligible …

… Highly accurate artificial intelligence systems … gastric cancer: efficacy of conventional
white-light imaging, nonmagnifying narrow-band imaging, and indigo-carmine dye contrast imaging…

… From the included studies, we extracted data on the number of endoscopic images of
lesions diagnosed as early gastric cancer (ie, true positive), the number of endoscopic …