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Automatic detection of exudates in retinal images
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).
2010 (Serbian)Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, automatic detection of different diseases plays an important role in early and reliable diagnosis, which leads to faster recovery and significant reduction in health care costs. One such disease is diabetic retinopathy, which is induced by diabetes and is manifested through the gradual loss of eye blood vessels. Exudates are a form of diabetic retinopathy, and the idea of this paper was developing the program which would be used for automatic recognition of places that are potentially exudates in retinal images. The program was made in MatLab and three different methods were used. Also, a method for detection of blind spots was developed, concerning importance of it for appropriate detection of exudates.

Place, publisher, year, edition, pages
Belgrade, 2010. Vol. 18, p. 713-716
National Category
Engineering and Technology
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-265518OAI: oai:DiVA.org:kth-265518DiVA, id: diva2:1377608
Conference
18th Telecommunications Forum TELFOR. Serbia, Belgrade, november 23.-25.
Note

QC 20191212

Available from: 2019-12-12 Created: 2019-12-12 Last updated: 2019-12-18Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

http://2010.telfor.rs/files/radovi/TELFOR2010_05_36.pdf

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