Abstract
Computer aided diagnosis (CAD) has become an important aspect of medical imagology development. This technology has advantages in precise quantitative analysis, reproducibility and physician workload reduction. In this paper, the research literature of computer aided diagnosis based on artificial intelligence has been reviewed, where the typical artificial intelligence algorithm procedure and related technologies in medical image-based CAD system have also been introduced. We also analysed the weaknesses and challenges of the current CAD system, and proposed the solutions and suggestions to counter these deficiencies. The recent study indicates that compared with the traditional supervised learning method, the semi-supervised active learning is more suitable to the practical requirements of clinical tasks. It will significantly reduce the implementation cost of the CAD system. Therefore, we believe that the research and development semi-supervised active learning method are of great significance to the medical image-based CAD system.
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