Progress in the application of deep learning in medical image recognition

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.