Automated diagnosis of glaucoma using texture and higher order spectra features.
about
Learning from data: recognizing glaucomatous defect patterns and detecting progression from visual field measurementsClassification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier.Glaucoma progression detection using structural retinal nerve fiber layer measurements and functional visual field pointsRegional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images.Validating retinal fundus image analysis algorithms: issues and a proposal.Detection of Glaucoma Using Image Processing Techniques: A Critique.Prostate tissue characterization/classification in 144 patient population using wavelet and higher order spectra features from transrectal ultrasound images.Automated detection of optic disk in retinal fundus images using intuitionistic fuzzy histon segmentation.An automated detection of glaucoma using histogram features.Automated detection of glaucoma using structural and non structural features.Recognizing patterns of visual field loss using unsupervised machine learning.Assessment of glaucoma using extreme learning machine and fractal feature analysis.Analysis of visual appearance of retinal nerve fibers in high resolution fundus images: a study on normal subjects.Automatic analysis of selected choroidal diseases in OCT images of the eye fundus.Comparative analysis of image classification methods for automatic diagnosis of ophthalmic images.Automated diagnosis of diabetic retinopathy and glaucoma using fundus and OCT images.Computer-assisted diagnosis of tuberculosis: a first order statistical approach to chest radiograph.Reliable feature selection for automated angle closure glaucoma mechanism detection.Decision support system for diabetic retinopathy using discrete wavelet transform.Glaucoma detection using novel optic disc localization, hybrid feature set and classification techniques.Mean curvature and texture constrained composite weighted random walk algorithm for optic disc segmentation towards glaucoma screening.Automated detection of glaucoma using structural and non structural features.Machine-learning based segmentation of the optic nerve head using multi-contrast Jones matrix optical coherence tomography with semi-automatic training dataset generation.AUTOMATED CHARACTERIZATION AND DETECTION OF DIABETIC RETINOPATHY USING TEXTURE MEASURES
P2860
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P2860
Automated diagnosis of glaucoma using texture and higher order spectra features.
description
2011 nî lūn-bûn
@nan
2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Automated diagnosis of glaucoma using texture and higher order spectra features.
@ast
Automated diagnosis of glaucoma using texture and higher order spectra features.
@en
type
label
Automated diagnosis of glaucoma using texture and higher order spectra features.
@ast
Automated diagnosis of glaucoma using texture and higher order spectra features.
@en
prefLabel
Automated diagnosis of glaucoma using texture and higher order spectra features.
@ast
Automated diagnosis of glaucoma using texture and higher order spectra features.
@en
P2093
P1476
Automated diagnosis of glaucoma using texture and higher order spectra features
@en
P2093
Chua Kuang Chua
Sumeet Dua
Vinitha Sree S
P304
P356
10.1109/TITB.2011.2119322
P577
2011-02-24T00:00:00Z