Automated segmentation of foveal avascular zone in digital colour retinal fundus images
One of the diabetes complications, diabetic retinopathy (DR), is characterised by the damage of retinal vessels, especially on the macular region. Located at the centre of retina and appeared as a cloudy dark spot in colour fundus image, macula is a fundamental area for high acumen of colour vis...
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| Main Authors: | , , , |
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| 格式: | Article PeerReviewed |
| 語言: | English |
| 出版: |
2017
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| 主題: | |
| 在線閱讀: | https://repository.ugm.ac.id/273914/1/Automated%20segmentation%20of%20foveal%20avascular%20zone%20in.pdf https://repository.ugm.ac.id/273914/ http://www.inderscience.com/offer.php?id=82223 |
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| 機構: | Universitas Gadjah Mada |
| 語言: | English |
| 總結: | One of the diabetes complications, diabetic retinopathy (DR), is
characterised by the damage of retinal vessels, especially on the macular
region. Located at the centre of retina and appeared as a cloudy dark spot in
colour fundus image, macula is a fundamental area for high acumen of colour
vision. Foveal avascular zone (FAZ) is located at the centre of macula and
encircled by interconnected capillary beds. FAZ has a round or oval shape with
an average diameter of 500–600 μm. In DR patients, the FAZ becomes larger
due to the loss of perifoveal retinal vessels. In this study, a scheme for
automated segmentation of FAZ in colour fundus images is proposed. The
scheme consists of four stages: pre-processing, image enhancement, vessels
segmentation and FAZ segmentation. Result shows that the average sensitivity,
specificity and accuracy obtained are 80.86%, 99.17% and 97.49%. This
indicates that the proposed scheme has successfully detected the FAZ. |
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