Our systematic review shows that the CNN models of gastric cancer perform well in detection, classification, segmentation and delineating margins. There is no uniform standard and …

Jun 1, 2024 · In this study, we present a deep learning-based technique for multiclassification of endoscopic images by combining modified GoogLeNet and vision transformer (ViT) models …

Oct 20, 2022 · The present study aimed to develop an endoscopic automatic detection system in EGC based on a mask region-based convolutional neural network (Mask R-CNN) and to …

Jun 27, 2022 · Gastroscopy is an important step in the diagnosis of early gastric cancer. However, because the morphological manifestations of early gastric cancer are not obv.

Good performances of the systems based on convolutional neural networks have been showed in the identification of gastric cancer. Artificial intelligence is expected to provide more accurate …

As an important branch of artificial intelligence, convolutional neural networks play an important role in the identification of gastric cancer. We conducted a systematic review to summarize the …

Apr 30, 2025 · Gastric cancer (GC), accounting for 7.7% of total cancer deaths, is the third leading cause of cancer deaths worldwide. According to estimates published by the …

Lesion-based CNN is a type of deep learning model designed to learn the entire lesion from endoscopic images. This review describes the application of lesion-based CNN technology in …

Nov 23, 2024 · By integrating YOLOv7 within CNN architectures, enables effective and accurate diagnosis of gastric cancer from gastrointestinal (GI) medical images. Our trained model can …

Gastric cancer remains a major health challenge worldwide, with nearly 1 million new cases annually contributing to more than 650 000 deaths. Epidemiologically, gastric cancer shows …