Abstract
There is currently no effective analytical method in colorectal image analysis, which leads to certain errors in colorectal image analysis. In order to improve the accuracy of colorectal imaging detection, this study used a genetic algorithm as the data mining algorithm and combined it with image processing technology to perform image analysis. At the same time, combined with the actual requirements of image detection, the gray theory model is used as the basic theory of image processing, and the image detection prediction model is constructed to predict the data. In addition, in order to study the effectiveness of the algorithm, the experiment is carried out to analyze the validity of the data of the study, and the predicted value is compared with the actual value. The research shows that the proposed algorithm has certain accuracy and can provide theoretical reference for subsequent related research.
Highlights
Colorectal cancer is one of the most common malignant tumors in the digestive tract
Based on this, based on the genetic algorithm, this study explores the mining methods that can obtain effective information from the influence of colorectal cancer and promote the further improvement of the diagnosis of colorectal cancer
According to the CT scan image, the tumor position is determined, and the largest level of the lesion is selected. With this layer as the center, 8 layers are selected as the target level, and the suspected enlarged lymph nodes in the fat space around the lesion are included as much as possible
Summary
Colorectal cancer is one of the most common malignant tumors in the digestive tract. The 2012 Global Cancer Report of the WHO/IARC (World Health Organization International Center for Cancer Research) shows that colorectal cancer is the third most common malignant tumor in the world and ranks fourth in the cause of malignant tumor death and accounts for about 10% of all cancers. The incidence of colorectal cancer is declining in some developed countries [1], the World Cancer Report [2] and China’s epidemiological studies [3] show that with the aging of China’s population, environmental pollution, and changes in living habits, the incidence of colorectal cancer in China is on the rise and there is a trend of rejuvenation. Based on this need, effective monitoring methods are used to improve the effect of colorectal imaging analysis. Inaccurate preoperative staging, whether it is insufficient staging or excessive staging, will have a significant impact on the prognosis of patients
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