Citation

M.D. Saleh, (2012) Biomedicine; Researchers from Multimedia University Publish Findings in Biomedicine. Diabetes Week. p. 123.

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Abstract

Our news journalists obtained a quote from the research from Multimedia University, "This paper provides an automated diagnosis system for DR integrated with a user-friendly interface. The grading of the severity level of DR is based on detecting and analyzing the early clinical signs associated with the disease, such as microaneurysms (MAs) and hemorrhages (HAs). The system extracts some retinal features, such as optic disc, fovea, and retinal tissue for easier segmentation of dark spot lesions in the fundus images. That is followed by the classification of the correctly segmented spots into MAs and HAs. Based on the number and location of MAs and HAs, the system quantifies the severity level of DR. A database of 98 color images is used in order to evaluate the performance of the developed system.

Item Type:	Article
Subjects:	R Medicine > R Medicine (General)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	09 Sep 2013 04:45
Last Modified:	11 Sep 2013 02:46
URII:	http://shdl.mmu.edu.my/id/eprint/3973

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