Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening

scientific article published on 01 December 2006

Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/mia/NiemeijerAG06
P356DOI10.1016/J.MEDIA.2006.09.006
P698PubMed publication ID17138215

P50authorMichael AbramoffQ16001446
Bram van GinnekenQ58101398
P2093author name stringMeindert Niemeijer
P433issue6
P921main subjectdiabetic retinopathyQ631361
P304page(s)888-898
P577publication date2006-12-01
P1433published inMedical Image AnalysisQ15761131
P1476titleImage structure clustering for image quality verification of color retina images in diabetic retinopathy screening
P478volume10

Reverse relations

cites work (P2860)
Q64109828Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
Q88498917Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine
Q34622966Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis
Q62490429Automated detection of age-related macular degeneration in color fundus photography: A systematic review
Q34027151Automated detection of diabetic retinopathy: barriers to translation into clinical practice
Q33895519Automated early detection of diabetic retinopathy
Q37758430Automated quality assessment of retinal fundus photos
Q38362122Automated retinal image analysis for diabetic retinopathy in telemedicine.
Q40202475Computer-aided diabetic retinopathy detection using trace transforms on digital fundus images
Q64114788Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity
Q34607413DrishtiCare: a telescreening platform for diabetic retinopathy powered with fundus image analysis
Q91869255Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
Q35774695Quality evaluation of digital fundus images through combined measures.
Q64270483Retinal image synthesis from multiple-landmarks input with generative adversarial networks
Q36848538Suitability of a Low-Cost, Handheld, Nonmydriatic Retinograph for Diabetic Retinopathy Diagnosis.
Q37088103Telemedicine and Diabetic Retinopathy: Review of Published Screening Programs
Q36135216Validating retinal fundus image analysis algorithms: issues and a proposal

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