Objective To summarize the research progress of microRNA （miRNA） as a tumor marker in peripheral blood. Methods The domestic and international published literatures about circulating miRNA as a tumor marker in recent years were reviewed. Results The miRNA expression has universality，stability and specificity，and it is related to the occurrence and development of viarous diseases. Conclusion Circulating miRNA shows a broad application prospect in clinical diagnosis， treatment， and prognosis of tumor and other diseases.
Medical image registration plays an important role in medical diagnosis and treatment planning. However, the current registration methods based on deep learning still face some challenges, such as insufficient ability to extract global information, large number of network model parameters, slow reasoning speed and so on. Therefore, this paper proposed a new model LCU-Net, which used parallel lightweight convolution to improve the ability of global information extraction. The problem of large number of network parameters and slow inference speed was solved by multi-scale fusion. The experimental results showed that the Dice coefficient of LCU-Net reached 0.823, the Hausdorff distance was 1.258, and the number of network parameters was reduced by about one quarter compared with that before multi-scale fusion. The proposed algorithm shows remarkable advantages in medical image registration tasks, and it not only surpasses the existing comparison algorithms in performance, but also has excellent generalization performance and wide application prospects.