关键词: 早期胃癌, 机器学习, 深度学习, 目标检测

Abstract:

Gastric cancer is the 3rd leading cause of cancer death worldwide, and the early detection of gastric cancer will play a crucial role in the later treatment of patients with gastric cancer. With the development of artificial intelligence, machine learning models in the field of computer vision can be utilized to assist in the early detection of gastric cancer, and some studies have found that the screening rate of some computer-assisted diagnostic models is close to or even higher than that of doctors. The early detection of gastric cancer using computer-assisted diagnosis can reduce the later treatment costs for patients with gastric cancer. This paper reports the current state of research on the assisted diagnosis of early gastric cancer under gastroscopy based on machine learning, introduces the clinical diagnostic modalities of early gastric cancer under gastroscopy and puts forward a diagnostic technology route for the computer-assisted diagnosis of the disease, analyzes the research characteristics of different diagnostic technology routes, and provides different entry points for computer-assisted diagnosis of early gastric cancer. This paper summarizes the models of machine learning, deep learning, target detection for early gastric cancer detection, and discusses the problems and challenges of their application to computer-assisted diagnosis.

Key words: early gastric cancer, machine learning, deep learning, object detection