LIU Li-bing, FU Li-yao. Application and Prospect of Deep Learning Technology in Medical Image Analysis[J]. New Generation of Information Technology, 2024, 7(1): 24-28
LIU Li-bing, FU Li-yao. Application and Prospect of Deep Learning Technology in Medical Image Analysis[J]. New Generation of Information Technology, 2024, 7(1): 24-28 DOI: 10.3969/j.issn.2096-6091.2024.01.005.
Deep learning technology has shown great potential in medical image analysis
greatly improving the accuracy and efficiency of medical diagnosis. This paper discusses the major technological developments and applications of deep learning in the field of medical image processing
with a focus on the key roles of deep learning based segmentation
registration
fusion
and federated learning methods in enhancing diagnostic accuracy and assisting treatment. Finally
this article explores the limitations of current technology and future development directions
aiming to provide valuable references for research and application in the field of medical image processing.
关键词
深度学习图像分析医学影像分析分析技术应用
Keywords
deep learningimage analysismedical imaging analysisapplication of analytical techniques
references
LECUN Y, BOTTOU L. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278-2324.
VASWANI A, SHAZEER N M, PARMAR N, et al. Attention is all you need[J]. arXiv, 2017. DOI:10.48550/arXiv.1706.03762http://dx.doi.org/10.48550/arXiv.1706.03762.
MA J, HE Y T, LI F F, et al. Segment anything in medical images[J]. Nature Communications, 2024, 15(1): 654.