Automatic detection and grading of severity level in exudative maculopathy

P. C. Siddalingaswamy, K. Gopalakrishna Prabhu, Vikram Jain

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Diabetic maculopathy is one of the complications of diabetes mellitus that is considered as one of the major cause of vision loss among people around the world. Compulsory screening of eye will help to identify the maculopathy at early stage and reduce the risk of severe vision loss. A new automated method for the detection and grading of diabetic maculopathy severity level without any manual intervention is presented. Based on the location of exudates in marked macular region the severity level is classified into mild, moderate and severe. Digital color retinal images at different levels of maculopathy were used to evaluate the method. An overall sensitivity of 95.6% and specificity of 96.15% were achieved by the method.

Original languageEnglish
Pages (from-to)173-179
Number of pages7
JournalBiomedical Engineering - Applications, Basis and Communications
Volume23
Issue number3
DOIs
Publication statusPublished - 06-2011

Fingerprint

Medical problems
Screening
Exudates and Transudates
Diabetes Complications
Color
Sensitivity and Specificity

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biophysics
  • Biomedical Engineering

Cite this

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Automatic detection and grading of severity level in exudative maculopathy. / Siddalingaswamy, P. C.; Prabhu, K. Gopalakrishna; Jain, Vikram.

In: Biomedical Engineering - Applications, Basis and Communications, Vol. 23, No. 3, 06.2011, p. 173-179.

Research output: Contribution to journalArticle

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