Paper Info
Title
Research And Application Of Key Technologies For Medical Image Intelligence Knowledge Discovery And Data Processing
Abstract
Hospitals have accumulated a large amount of medical image data which need to be analyzed and integrated so as to be able to find the needed medical image in time, which is the basis of key technologies such as intelligent diagnosis of diseases. Meanwhile, through the analysis and integrated processing of medical images, the potential value of existing medical image data can be fully explored. In this paper, the key technologies in the intelligent image knowledge discovery system and the characteristics of medical image data are studied and improved.In this paper, the characteristics of knowledge discovery and medical image data are comprehensively considered, and RDM texture features are selected as the feature representation of medical images. An improved RDM operator is proposed and proved by experimental results. Experimental results show that the improved RDM coding method can improve the stability of medical image data expression.
Year
DOI
Venue
2020
10.1142/S0218001420570050
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Keywords
DocType
Volume
Improved RDM Operator, medical image intelligence knowledge discovery, SIFT characteristics
Journal
34
Issue
ISSN
Citations 
11
0218-0014
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ruo Hu103.38
Ming Li200.34
Hong Xu301.35
Hui Min Zhao400.34