Abstract
With the gradual improvement of people's living standards, the production and drinking of all kinds of food is increasing. People's disease rate has increased compared with before, which leads to the increasing number of medical image processing. Traditional technology cannot meet most of the needs of medicine. At present, convolutional neural network (CNN) algorithm using chaotic recursive diagonal model has great advantages in medical image processing and has become an indispensable part of most hospitals. This paper briefly introduces the use of medical science and technology in recent years. The hybrid algorithm of CNN in chaotic recursive diagonal model is mainly used for technical research, and the application of this technology in medical image processing is analysed. The CNN algorithm is optimized by using chaotic recursive diagonal model. The results show that the chaotic recursive diagonal model can improve the structure of traditional neural network and improve the efficiency and accuracy of the original CNN algorithm. Then, the application research and comparison of medical image processing are performed according to CNN algorithm and optimized CNN algorithm. The experimental results show that the CNN algorithm optimized by chaotic recursive diagonal model can help medical image automatic processing and patient condition analysis.
Highlights
With the development of neural network, we focus on the dynamics and nondynamics of the algorithm
The paper analyses the technology of chaos recursive diagonal model in neural network structure and uses its own chaos properties to avoid the defects in search accuracy by combining with neural network algorithm. en, the machine learning model of medical image processing is constructed according to convolutional neural network (CNN)
According to the chaotic mechanism and neural network algorithm, the detection model based on chaotic recurrent diagonal neural network is formed. e results show that the model has high accuracy and efficiency in data processing
Summary
With the development of neural network, we focus on the dynamics and nondynamics of the algorithm. Recursive diagonal model has some advantages compared with neural network algorithm, it can simplify the whole structure. According to the advantages described perviously, CNN algorithm has rapid development in medical image processing and obvious results [23]. According to the medical image processing problem, the chaos recursive diagonal model is analysed, and the whole medical image processing technology is studied and analysed by combining CNN algorithm [26]. The paper analyses the technology of chaos recursive diagonal model in neural network structure and uses its own chaos properties to avoid the defects in search accuracy by combining with neural network algorithm. En, the machine learning model of medical image processing is constructed according to CNN. E advantages and disadvantages of traditional algorithm and improved CNN algorithm are analysed, and the application of this algorithm in medical image processing is analysed
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