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Progress in the Application of Deep Learning in Medical Image Recognition
- 1 School of International, Guangdong University of Finance, Guangzhou, Guangdong, China
* Author to whom correspondence should be addressed.
Abstract
With the continuous progress of deep learning technology, its application in the field of medical image recognition has made remarkable progress. The purpose of this review is to discuss the effectiveness, application value and future prospects of deep learning in current medical image recognition tasks. The application of deep learning technology in medical image recognition has shown broad prospects, and it is expected to play an important role in more practical scenarios in the future and promote the further development of intelligent vision technology. This paper first introduces the optimization methods, data sets and evaluation indicators of medical image recognition in detail, then reviews the commonly used technologies of medical image recognition, and finally summarizes the existing limitations and prospects for the future, and makes a summary of this paper. In conclusion, deep learning has shown great potential in medical image recognition and is expected to play a key role in advancing the field, with promising prospects for future applications in clinical practice.
Keywords
Deep learning, Medical image recognition, Convolutional neural network, Feature extraction, Pattern recognition
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Cite this article
Tian,H. (2025). Progress in the Application of Deep Learning in Medical Image Recognition. Applied and Computational Engineering,135,10-18.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 3rd International Conference on Mechatronics and Smart Systems
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