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View all- Intelligence and Neuroscience C(2023)RetractedComputational Intelligence and Neuroscience10.1155/2023/97568972023Online publication date: 1-Jan-2023
Application of CNN Algorithm Based on Chaotic Recursive Diagonal Model in Medical Image Processing
Authors: 
Fangfang Ye, Sen Xu, Ting Wang, Zhangquan Wang, Tiaojuan Ren Academic Editor: Syed Hassan AhmedAuthors Info & Claims
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.
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Copyright © 2021 Fangfang Ye et al.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Published: 01 January 2021
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View all- Intelligence and Neuroscience C(2023)RetractedComputational Intelligence and Neuroscience10.1155/2023/97568972023Online publication date: 1-Jan-2023