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Published on: November 30, 2022
The synergy of cybernetical intelligence with medical image analysis for deep medicine: A methodological perspective
Kelvin Kl Wong1, Muhammad Ayoub2, Zaijie Cao2
1School of Information and Electronics, Hunan City University, Yiyang 413000, China; Department of Research, Deep Red Future Technology Co. Ltd., Shenzhen, China; Divison of Biomedical Engineering, Department of Mechanical Engineering, University of Saskatchewan, Canada.
Conceptual Introduction:
To introduce the concept of cybernetical intelligence, deep learning, development history, international research, algorithms, and the application of these models in smart medical image analysis and deep medicine are reviewed in this paper. This study also defines the terminologies for cybernetical intelligence, deep medicine, and precision medicine.
Review Of Methods:
Through literature research and knowledge reorganization, this review explores the fundamental concepts and practical applications of various deep learning techniques and cybernetical intelligence by conducting extensive literature research and reorganizing existing knowledge in medical imaging and deep medicine. The discussion mainly centers on the applications of classical models in this field and addresses the limitations and challenges of these basic models.
Evaluation And Discussions:
In this paper, the more comprehensive overview of the classical structural modules in convolutional neural networks is described in detail from the perspective of cybernetical intelligence in deep medicine. The results and data of major research contents of deep learning are consolidated and summarized.
Conclusion:
There are some problems in machine learning internationally, such as insufficient research techniques, unsystematic research methods, incomplete research depth, and incomplete evaluation research. Some suggestions are given in our review to solve the problems existing in the deep learning models. Cybernetical intelligence has proven to be a valuable and promising avenue for advancing various fields, including deep medicine and personalized medicine.
