Gastrointestinal endoscopy is widely conducted for the early detection of gastric cancer.
However, it is often difficult to detect early gastric cancer lesions and accurately evaluate the …

Background and Aims According to guidelines, endoscopic resection should only be
performed for patients whose early gastric cancer invasion depth is within the mucosa or …

Gastric cancer, as a malignant tumor, is one of the most common cancer-related deaths
worldwide with high mortality and incidence rates. Therefore, the endoscopic detection of …

Abstract Background and Aim Recently, artificial intelligence (AI) has been used in
endoscopic examination and is expected to help in endoscopic diagnosis. We evaluated the …

Endoscopic image diagnosis assisted by machine learning is useful for reducing
misdetection and interobserver variability. Although many results have been reported, few …

Diagnosis and evaluation of early gastric cancer (EGC) using endoscopic images is
significantly important; however, it has some limitations. In several studies, the application of …

It is a reliable way to judge gastric cancer by pathological section. Using deep learning
method to detect medical images, as an auxiliary diagnosis method, it can improve the …

Background We aimed to develop and validate a real-time deep convolutional neural
networks (DCNNs) system for detecting early gastric cancer (EGC). Methods All 45,240 …

Background Image recognition using artificial intelligence with deep learning through
convolutional neural networks (CNNs) has dramatically improved and been increasingly …

Background and Aims This study aimed to evaluate the accuracy and effectiveness of the
convolutional neural network (CNN) in diagnosing gastric cancer and predicting the …