New objective classification system for nuclear opacification

D. D. Duncan, O. B. Shukla, S. K. West, O. D. Schein

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

We have developed an autonomous objective classification scheme for degree of nuclear opacification. The algorithm was developed by using a series of color 35-mm slides acquired with a Topcon photo slit-lamp microscope and use of standard camera settings. The photographs were digitized, and first, and second-order gray-level statistics were extracted from within circular regions of the nucleus. Classifications of severity were performed by using these features as input to a neural network. Training versus classification performance was tested by using photographs of different eyes, and test/retest classification reproducibility was evaluated by using paired photographs of the same eyes. We demonstrate good performance of the classifier against subjective assessments rendered by the Wilmer grading system [Invest. Ophthalmol. Visual Sci. 29, 73 (1988)] and markedly better test/retest reproducibility.

Original languageEnglish (US)
Pages (from-to)1197-1204
Number of pages8
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume14
Issue number6
DOIs
StatePublished - Jun 1997

Keywords

  • Cataract
  • Classification
  • Nuclear
  • Opacification
  • Standards

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

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