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Paper
Title

Optic Disc Detection in Retinal Fundus Images Based on Saliency Map

Year: 1399
COI: JR_SPRE-4-4_005
Language: EnglishView: 87
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Authors

Mohammad Mehran - Department of Biomedical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
Somayeh Saraf Esmaili - Department of Biomedical Engineering, Garmsar Branch, Islamic Azad University, Garmsar, Iran

Abstract:

The eye is one of the sensitive organs of the body that is affected by various factors. One of these diseases is glaucoma. Glaucoma is one of the most common ophthalmic diseases that affects the optic disc area and changes this area in terms of size, color and texture. For this reason, the detection of the optic disc area in retinal fundus images is one of the most basic steps in the process of automatic diagnosis of ocular diseases, including glaucoma. Due to the importance of eye diseases and their high incidence, the introduction of new methods in the process of automatic detection of optic disc area by analysis of retinal color images can reduce the volume and computational load, and it helps us to improve the process of early diagnosis of eye diseases. For the reasons mentioned, in this paper, a new method based on the graph-based visual saliency model, along with the watershed algorithm and region growing algorithm to detect optic disc area in retinal fundus images have been suggested to help diagnose eye diseases including glaucoma. According to the proposed method, in this paper, we were able to detect the optic disc area with a 99.1% standard success rate in DRIONS database.

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This Paper COI Code is JR_SPRE-4-4_005. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1182487/

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Mehran, Mohammad and Saraf Esmaili, Somayeh,1399,Optic Disc Detection in Retinal Fundus Images Based on Saliency Map,https://civilica.com/doc/1182487

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 12,117
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