Secondary Observer System for Detection of Microaneurysms in Fundus Images Using Texture Descriptors.
The increase of diabetic retinopathy patients and diabetic mellitus worldwide yields lot of challenges to ophthalmologists in the screening of diabetic retinopathy. Different signs of diabetic retinopathy were identified in retinal images taken through fundus photography. Among these stages, the ear...
| Publicado en: | Journal of Digital Imaging Vol. 33; no. 1; pp. 159 - 168 |
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| Autores principales: | , , |
| Formato: | equations & formulas pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2020
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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=142164511&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142164511 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Feb2020 vid: 33 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 142164511 142164511 142164511 10.1007/s10278-019-00225-z 142164511 ppf: 159 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Secondary Observer System for Detection of Microaneurysms in Fundus Images Using Texture Descriptors. aug: au: Derwin, D. Jeba Selvi, S. Tami Singh, O. Jeba affil: Department of ECE, Arunachala College of Engineering for Women, Kanyakumari, Tamilnadu, India sug: subj: Microaneurysm Diagnosis Diabetic Retinopathy Diagnosis Image Processing, Computer Assisted Diagnostic Imaging Methods Vision Screening Methods Deaf-Blind Disorders Prevention and Control Image Interpretation, Computer Assisted ROC Curve ab: The increase of diabetic retinopathy patients and diabetic mellitus worldwide yields lot of challenges to ophthalmologists in the screening of diabetic retinopathy. Different signs of diabetic retinopathy were identified in retinal images taken through fundus photography. Among these stages, the early stage of diabetic retinopathy termed as microaneurysms plays a vital role in diabetic retinopathy patients. To assist the ophthalmologists, and to avoid vision loss among diabetic retinopathy patients, a computer-aided diagnosis is essential that can be used as a second opinion while screening diabetic retinopathy. On this vision, a new methodology is proposed to detect the microaneurysms and non-microaneurysms through the stages of image pre-processing, candidate extraction, feature extraction, and classification. The feature extractor, generalized rotational invariant local binary pattern, contributes in extracting the texture-based features of microaneurysms. As a result, our proposed system achieved a free-response receiver operating characteristic score of 0.421 with Retinopathy Online Challenge database. pubtype: Academic Journal doctype: equations & formulas pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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