With the rapid development of medical equipment, medical imaging has entered the era of big data. How to process massive data quickly and accurately extract critical information for disease diagnosis and treatment is a major challenge facing clinical practice. Artificial intelligence has unique advantages in real-time processing, prediction and analysis, transfer learning, etc., which provides a new breakthrough for solving this problem. This review reviews the artificial intelligence models applied to medical image processing in recent years, shows their wide application scenarios, briefly discusses their unique advantages from three aspects of image recognition, image enhancement and image registration, and finally summarizes the current research status and puts forward some prospects.
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Kaiyan Wang (2024) studied this question.
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