1. The Diagnosis of Early Gastric Cancer Based on Medical Imaging Technology and Mathematical Modeling
- Author
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Jingying Xiu, Lie Ma, Yanping Ding, Yang Li, Lili Kan, Shi Feng, Fei Wu, Shanshan Xu, Xinan Lu, Ting He, and Zhihai Han
- Subjects
Narrow Band Imaging ,Technology ,General Immunology and Microbiology ,Stomach Neoplasms ,Applied Mathematics ,Modeling and Simulation ,Gastroscopy ,Humans ,General Medicine ,Early Detection of Cancer ,General Biochemistry, Genetics and Molecular Biology - Abstract
The key to reducing the mortality of gastric cancer is early detection, early diagnosis, and early treatment of gastric cancer. Early diagnosis of gastric cancer is the key to early detection and diagnosis of gastric cancer. Early diagnosis and treatment of gastric cancer is of great significance for improving the curative effect and reducing mortality of gastric cancer. The purpose of this paper is to study the diagnosis of early gastric cancer based on medical imaging techniques and mathematical modeling. The effect of W-DeepLab network-assisted diagnosis of images under white light was analyzed, and the value of Narrow Band Imaging and Blue Laser Imaging in the diagnosis of early gastric cancer was compared. Because Blue Laser Imaging endoscopy can clearly observe the demarcation line and microvascular morphology; but when using Narrow Band Imaging observation, part of the demarcation line and microvascular morphology is not observed. The results show that Blue Laser Imaging is brighter than Narrow Band Imaging’s endoscopic images, and it is easier to observe the microstructure of lesions under endoscopy, so as to accurately determine the nature of lesions.
- Published
- 2022