Segmentation of virus-infected areas in retinal angiograms using a learning-by-sample approach | IEEE Conference Publication | IEEE Xplore

Segmentation of virus-infected areas in retinal angiograms using a learning-by-sample approach


Abstract:

A operational system devoted to the segmentation of virus-infected areas in the retina is described. It uses a 3-stage approach which involves image sampling, unsupervise...Show More

Abstract:

A operational system devoted to the segmentation of virus-infected areas in the retina is described. It uses a 3-stage approach which involves image sampling, unsupervised coding and supervised classification. Unsupervised coding is provided by principal component analysis whereas supervised classification is performed by a multilayer perceptron. Segmentation as realized by ophthalmologists is considered to be the gold standard. It is shown that, despite the high variability of images, automatic segmentation is accurate and can help to spot problematic areas.
Date of Conference: 27-27 July 2000
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7695-0619-4
Print ISSN: 1098-7576
Conference Location: Como, Italy

References

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