File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Detection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy

TitleDetection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy
Authors
Issue Date2013
PublisherPublic Library of Science. The Journal's web site is located at http://www.plosone.org/home.action
Citation
PLoS One, 2013, v. 8 n. 12, article no. e75699 How to Cite?
AbstractDiabetic 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.
Persistent Identifierhttp://hdl.handle.net/10722/205569
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLee, Jen_US
dc.contributor.authorZee, BCYen_US
dc.contributor.authorLi, Qen_US
dc.date.accessioned2014-09-20T04:00:22Z-
dc.date.available2014-09-20T04:00:22Z-
dc.date.issued2013en_US
dc.identifier.citationPLoS One, 2013, v. 8 n. 12, article no. e75699en_US
dc.identifier.urihttp://hdl.handle.net/10722/205569-
dc.description.abstractDiabetic 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.en_US
dc.languageengen_US
dc.publisherPublic Library of Science. The Journal's web site is located at http://www.plosone.org/home.action-
dc.relation.ispartofPLoS Oneen_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleDetection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathyen_US
dc.typeArticleen_US
dc.identifier.emailLi, Q: qinglee@hku.hken_US
dc.identifier.authorityLi, Q=rp01741en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1371/journal.pone.0075699-
dc.identifier.pmid24358105-
dc.identifier.pmcidPMC3864789-
dc.identifier.hkuros238309en_US
dc.identifier.volume8en_US
dc.identifier.isiWOS:000328735700001-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats