Title :
Image retrieval system for medical applications
Author :
Ling Chei Siong;W Mimi Diyana W Zaki;Aini Hussain;Hamzaini Abdul Hamid
Author_Institution :
Smart Engineering System Research Group, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Malaysia
fDate :
4/1/2015 12:00:00 AM
Abstract :
This paper discusses the review of image retrieval system for medical applications. For decades, image retrieval system research has been popular and as such, it is widely used in the market today. But in the medical field, there are only a few systems available and they have limitations. Text-based Image Retrieval Systems (TBIRSs) have been used in many hospitals but such systems are not efficient especially when dealing with large databases. Thus, Content-based Image Retrieval System (CBIRS) was proposed to overcome the inefficiency in TBIRS. However, CBIRS also has some limitations in medical field and requires further research to improve it. To begin with, this paper intends to present a study on hybrid system involving both the TBIRS and CBIRS as its components. Additionally, it suggests a prototype for the TBIRS.
Keywords :
"Image retrieval","Medical diagnostic imaging","Feature extraction","Medical services","Biomedical equipment"
Conference_Titel :
Computer Applications & Industrial Electronics (ISCAIE), 2015 IEEE Symposium on
DOI :
10.1109/ISCAIE.2015.7298331
