Detection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy.

Detection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy.

Diabetic retinopathy is a major cause of blindness. Proliferative diabetic retinopathy is a result of severe vascular complication and is visible as neovascularization of the retina. Automatic detection of such new vessels would be useful for the severity grading of diabetic retinopathy, and it is a...

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Autores principales: Jack Lee, Benny Chung Ying Zee, Qing Li
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
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Medicine
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Science
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Acceso en línea:https://doaj.org/article/425272fa1a234ca68e8ffac0540ebbe8
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spelling oai:doaj.org-article:425272fa1a234ca68e8ffac0540ebbe82021-11-18T08:41:55ZDetection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy.1932-620310.1371/journal.pone.0075699https://doaj.org/article/425272fa1a234ca68e8ffac0540ebbe82013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24358105/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Diabetic retinopathy is a major cause of blindness. Proliferative diabetic retinopathy is a result of severe vascular complication and is visible as neovascularization of the retina. Automatic detection of such new vessels would be useful for the severity grading of diabetic retinopathy, and it is an important part of screening process to identify those who may require immediate treatment for their diabetic retinopathy. We proposed a novel new vessels detection method including statistical texture analysis (STA), high order spectrum analysis (HOS), fractal analysis (FA), and most importantly we have shown that by incorporating their associated interactions the accuracy of new vessels detection can be greatly improved. To assess its performance, the sensitivity, specificity and accuracy (AUC) are obtained. They are 96.3%, 99.1% and 98.5% (99.3%), respectively. It is found that the proposed method can improve the accuracy of new vessels detection significantly over previous methods. The algorithm can be automated and is valuable to detect relatively severe cases of diabetic retinopathy among diabetes patients.Jack LeeBenny Chung Ying ZeeQing LiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 12, p e75699 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jack Lee
Benny Chung Ying Zee
Qing Li
Detection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy.
description Diabetic retinopathy is a major cause of blindness. Proliferative diabetic retinopathy is a result of severe vascular complication and is visible as neovascularization of the retina. Automatic detection of such new vessels would be useful for the severity grading of diabetic retinopathy, and it is an important part of screening process to identify those who may require immediate treatment for their diabetic retinopathy. We proposed a novel new vessels detection method including statistical texture analysis (STA), high order spectrum analysis (HOS), fractal analysis (FA), and most importantly we have shown that by incorporating their associated interactions the accuracy of new vessels detection can be greatly improved. To assess its performance, the sensitivity, specificity and accuracy (AUC) are obtained. They are 96.3%, 99.1% and 98.5% (99.3%), respectively. It is found that the proposed method can improve the accuracy of new vessels detection significantly over previous methods. The algorithm can be automated and is valuable to detect relatively severe cases of diabetic retinopathy among diabetes patients.
format article
author Jack Lee
Benny Chung Ying Zee
Qing Li
author_facet Jack Lee
Benny Chung Ying Zee
Qing Li
author_sort Jack Lee
title Detection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy.
title_short Detection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy.
title_full Detection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy.
title_fullStr Detection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy.
title_full_unstemmed Detection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy.
title_sort detection of neovascularization based on fractal and texture analysis with interaction effects in diabetic retinopathy.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/425272fa1a234ca68e8ffac0540ebbe8
work_keys_str_mv AT jacklee detectionofneovascularizationbasedonfractalandtextureanalysiswithinteractioneffectsindiabeticretinopathy
AT bennychungyingzee detectionofneovascularizationbasedonfractalandtextureanalysiswithinteractioneffectsindiabeticretinopathy
AT qingli detectionofneovascularizationbasedonfractalandtextureanalysiswithinteractioneffectsindiabeticretinopathy
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