dc.contributor.author |
Oluwatobi, JA
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dc.contributor.author |
Nelwamondo, Fulufhelo V
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dc.contributor.author |
Mabuza-Hocquet, Gugulethu P
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dc.date.accessioned |
2020-09-07T11:32:56Z |
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dc.date.available |
2020-09-07T11:32:56Z |
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dc.date.issued |
2019-12 |
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dc.identifier.citation |
Oluwatobi, J.A., Mabuza-Hocquet, G.P. and Nelwamondo, F.V. 2019. The use of area covered by blood vessels in fundus images to detect glaucoma. International Conference on Intelligent Systems Design and Applications (ISDA) 2019, University of Pretoria, Pretoria, South Africa, 3-5 December 2019 |
en_US |
dc.identifier.isbn |
978-3-030-49341-7 |
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dc.identifier.isbn |
978-3-030-49342-4 |
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dc.identifier.uri |
https://link.springer.com/chapter/10.1007/978-3-030-49342-4_35
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dc.identifier.uri |
DOI: https://doi.org/10.1007/978-3-030-49342-4_35
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dc.identifier.uri |
http://hdl.handle.net/10204/11567
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dc.description |
Copyright: 2019 Springer. This the preprint version of the work. |
en_US |
dc.description.abstract |
Several techniques have been employed to detect glaucoma from optic discs. Some techniques involve the use of the optic cup-to-disc ratio (CDR) while others use the neuro-retinal rim width of the optic disc. In this work, we use the area occupied by segmented blood vessels from fundus images to detect glau-coma. Blood vessels segmentation is done using an improved U-net Convolu-tional Neural Network (CNN). The area occupied by the blood vessels is then extracted and used to diagnose glaucoma. The technique is tested on the DR-HAGIS database and the HRF database. We compare our result with a similar method called the ISNT-ratio which involves the use of the Inferior, Superior, Nasal and Temporal neuro- retina rims. The ISNT-ratio is expressed as the ratio of the sum of blood vessels in the Inferior and the Superior to the sum of blood vessels in the Nasal and Temporal. Our results demonstrate a more reliable, sta-ble and efficient method of detecting glaucoma from segmented blood vessels. Our results also show that segmented blood vessels from healthy fundus images cover more area than those from glaucomatous and diabetic fundus images. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Springer |
en_US |
dc.relation.ispartofseries |
Worklist;23037 |
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dc.subject |
Blood vessel segmentation |
en_US |
dc.subject |
Image segmentation |
en_US |
dc.subject |
Glaucoma |
en_US |
dc.subject |
Retinal Fundus Image |
en_US |
dc.title |
The use of area covered by blood vessels in fundus images to detect glaucoma |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Oluwatobi, J., Nelwamondo, F. V., & Mabuza-Hocquet, G. P. (2019). The use of area covered by blood vessels in fundus images to detect glaucoma. Springer. http://hdl.handle.net/10204/11567 |
en_ZA |
dc.identifier.chicagocitation |
Oluwatobi, JA, Fulufhelo V Nelwamondo, and Gugulethu P Mabuza-Hocquet. "The use of area covered by blood vessels in fundus images to detect glaucoma." (2019): http://hdl.handle.net/10204/11567 |
en_ZA |
dc.identifier.vancouvercitation |
Oluwatobi J, Nelwamondo FV, Mabuza-Hocquet GP, The use of area covered by blood vessels in fundus images to detect glaucoma; Springer; 2019. http://hdl.handle.net/10204/11567 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Oluwatobi, JA
AU - Nelwamondo, Fulufhelo V
AU - Mabuza-Hocquet, Gugulethu P
AB - Several techniques have been employed to detect glaucoma from optic discs. Some techniques involve the use of the optic cup-to-disc ratio (CDR) while others use the neuro-retinal rim width of the optic disc. In this work, we use the area occupied by segmented blood vessels from fundus images to detect glau-coma. Blood vessels segmentation is done using an improved U-net Convolu-tional Neural Network (CNN). The area occupied by the blood vessels is then extracted and used to diagnose glaucoma. The technique is tested on the DR-HAGIS database and the HRF database. We compare our result with a similar method called the ISNT-ratio which involves the use of the Inferior, Superior, Nasal and Temporal neuro- retina rims. The ISNT-ratio is expressed as the ratio of the sum of blood vessels in the Inferior and the Superior to the sum of blood vessels in the Nasal and Temporal. Our results demonstrate a more reliable, sta-ble and efficient method of detecting glaucoma from segmented blood vessels. Our results also show that segmented blood vessels from healthy fundus images cover more area than those from glaucomatous and diabetic fundus images.
DA - 2019-12
DB - ResearchSpace
DP - CSIR
KW - Blood vessel segmentation
KW - Image segmentation
KW - Glaucoma
KW - Retinal Fundus Image
LK - https://researchspace.csir.co.za
PY - 2019
SM - 978-3-030-49341-7
SM - 978-3-030-49342-4
T1 - The use of area covered by blood vessels in fundus images to detect glaucoma
TI - The use of area covered by blood vessels in fundus images to detect glaucoma
UR - http://hdl.handle.net/10204/11567
ER -
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en_ZA |