Automated Detection and Grading of Diabetic Maculopathy in Digital Retinal Images.
Diabetic maculopathy is one of the retinal abnormalities in which a diabetic patient suffers from severe vision loss due to the affected macula. It affects the central vision of the person and causes blindness in severe cases. In this article, we propose an automated medical system for the grading o...
| Publicado en: | Journal of Digital Imaging Vol. 26; no. 4; pp. 803 - 813 |
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| Autores principales: | , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104190865&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104190865 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Aug2013 vid: 26 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104190865 88934661 10.1007/s10278-012-9549-4 NLM23325123 PMC3705025 104190865 ppf: 803 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Automated Detection and Grading of Diabetic Maculopathy in Digital Retinal Images. aug: au: Tariq, Anam Akram, M. Shaukat, Arslan Khan, Shoab affil: Department of Computer Engineering, College of E&ME, National University of Sciences and Technology, Rawalpindi Pakistan sug: subj: Diabetic Retinopathy Diagnosis, Computer Assisted Diabetic Retinopathy Radiography Retina Radiography Exudates and Transudates Radiography Diabetic Retinopathy Physiopathology Diabetic Retinopathy Diagnosis Image Processing, Computer Assisted Diabetic Retinopathy Classification Algorithms Evaluation Evaluation Research Sensitivity and Specificity Predictive Value of Tests Human ab: Diabetic maculopathy is one of the retinal abnormalities in which a diabetic patient suffers from severe vision loss due to the affected macula. It affects the central vision of the person and causes blindness in severe cases. In this article, we propose an automated medical system for the grading of diabetic maculopathy that will assist the ophthalmologists in early detection of the disease. The proposed system extracts the macula from digital retinal image using the vascular structure and optic disc location. It creates a binary map for possible exudate regions using filter banks and formulates a detailed feature vector for all regions. The system uses a Gaussian Mixture Model-based classifier to the retinal image in different stages of maculopathy by using the macula coordinates and exudate feature set. The evaluation of proposed system is performed by using publicly available standard retinal image databases. The results of our system have been compared with other methods in the literature in terms of sensitivity, specificity, positive predictive value and accuracy. Our system gives higher values as compared to others on the same databases which makes it suitable for an automated medical system for grading of diabetic maculopathy. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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