Literature DB >> 26682184

Assessment of glaucoma using extreme learning machine and fractal feature analysis.

Subramaniam Kavitha1, Karuppusamy Duraiswamy2, Sakthivel Karthikeyan3.   

Abstract

Entities:  

Year:  2015        PMID： 26682184      PMCID： PMC4651900          DOI： 10.3980/j.issn.2222-3959.2015.06.33

Source DB:  PubMed          Journal:  Int J Ophthalmol        ISSN： 2222-3959            Impact factor:   1.779


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  6 in total

Review 1.  Mathematical models of human retina.

Authors:  Stefan Tălu
Journal:  Oftalmologia       Date:  2011

2.  Automated diagnosis of glaucoma using texture and higher order spectra features.

Authors:  U Rajendra Acharya; Sumeet Dua; Xian Du; Vinitha Sree S; Chua Kuang Chua
Journal:  IEEE Trans Inf Technol Biomed       Date:  2011-02-24

3.  Wavelet-based energy features for glaucomatous image classification.

Authors:  Sumeet Dua; U Rajendra Acharya; Pradeep Chowriappa; S Vinitha Sree
Journal:  IEEE Trans Inf Technol Biomed       Date:  2011-11-18

4.  Glaucoma risk index: automated glaucoma detection from color fundus images.

Authors:  Rüdiger Bock; Jörg Meier; László G Nyúl; Joachim Hornegger; Georg Michelson
Journal:  Med Image Anal       Date:  2010-01-04       Impact factor: 8.545

5.  Novel fractal feature-based multiclass glaucoma detection and progression prediction.

Authors:  Paul Y Kim; Khan M Iftekharuddin; Pinakin G Davey; Márta Tóth; Anita Garas; Gabor Holló; Edward A Essock
Journal:  IEEE J Biomed Health Inform       Date:  2012-09-12       Impact factor: 5.772

6.  Quantitative assessment of early diabetic retinopathy using fractal analysis.

Authors:  Ning Cheung; Kim C Donaghue; Gerald Liew; Sophie L Rogers; Jie Jin Wang; Shueh-Wen Lim; Alicia J Jenkins; Wynne Hsu; Mong Li Lee; Tien Y Wong
Journal:  Diabetes Care       Date:  2008-10-03       Impact factor: 17.152
  6 in total

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