Output details
11 - Computer Science and Informatics
Kingston University
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Output 0 of 0 in the submission
Article title
Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods
Type
D - Journal article
Title of journal
Computerized Medical Imaging and Graphics
Article number
-
Volume number
32
Issue number
8
First page of article
720
ISSN of journal
0895-6111
Year of publication
2008
Number of additional authors
3
Additional information
<23> This approach of mathematical morphology provided a high performing technique in the detection of one of the early signs of diabetic retinopathy. Most exudate detection techniques are developed to work on dilated pupil images. This algorithm showed good performance with respect to non-dilated pupil images which are often low quality. A very good citation rate is a reflection that the algorithm has found wide use because of its robust performance on even low quality images.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
54
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
