Paper Info
Title
A content-based search engine on medical images for telemedicine
Abstract
Retrieving images by content and forming visual queries are important functionality of an image database system. Using textual descriptions to specify queries on image content is another important component of content-based search. The authors describe a medical image database system MIQS which supports visual queries such as query by example and query by sketch. In addition, it supports textual queries on spatial relationships between the objects of an image. MIQS is designed as a client-server application in which the client accesses the database and its images via the WWW.
Year
DOI
Venue
1997
10.1109/CMPSAC.1997.625070
COMPSAC
Keywords
Field
DocType
client server application,world wide web,client server,query by example,image retrieval,information retrieval,search engine,search engines,biomedical imaging,www,internet
Search engine,Information retrieval,Computer science,Medical imaging,Image retrieval,Query by Example,Software,Spatial query,The Internet,Client–server model
Conference
ISSN
ISBN
Citations 
0730-3157
0-8186-8105-5
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
David Wai-Lok Cheung12469282.09
Chi-Hung Lee2111.29
Vincent T. Y. Ng3504122.85