计算机科学
人工智能
情报检索
特征(语言学)
图像检索
图像自动标注
翻译(生物学)
自然语言处理
模式识别(心理学)
图像(数学)
语言学
生物化学
基因
信使核糖核酸
哲学
化学
标识
DOI:10.1142/s021821302140008x
摘要
In order to improve the effect of the medical information automatic translation system, based on the text feature recognition technology of medical image, this paper constructs an automatic translation system that can recognize medical images. On the basis of the medical information image retrieval based on the combination of text information and visual information, this paper uses automatic image annotation technology and semantic similarity calculation method to extract the text and semantic features of medical information images. Then, this paper uses the inherent multi-information fusion capability of the Bayesian inference network to fuse the text features of medical information images and the semantic features of image content together to realize medical information image retrieval. Finally, this paper designs experiments to test the performance of the medical information automatic translation system. The research shows that the system constructed in this paper has certain effects.
科研通智能强力驱动
Strongly Powered by AbleSci AI