Image analysis of retinal images

M J Cree; Herbert Jelinek

doi:10.1007/978-1-4419-9779-1_11

Image analysis of retinal images

M J Cree, Herbert Jelinek

Research output: Book chapter/Published conference paper › Chapter in textbook/reference book › peer-review

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Abstract

The eye is sometimes said to provide a window into the health of a person for it is only in the eye that one can actually see the exposed flesh of the subject without using invasive procedures. That ‘exposed flesh’ is, of course, the retina, the light sensitive layer at the back of the eye. There are a number of diseases, particularly vascular disease, that leave tell-tale markers in the retina. The retina can be photographed relatively straightforwardly with a fundus camera and now with direct digital imaging there is much interest in computer analysis of retinal images for identifying and quantifying the effects of diseases such as diabetes.

Original language	English
Title of host publication	Medical image processing
Subtitle of host publication	Techniques and applications
Editors	Geoff Dougherty
Place of Publication	New York
Publisher	Springer-Verlag London Ltd.
Chapter	11
Pages	249-268
Number of pages	20
ISBN (Print)	9781441997692
DOIs	https://doi.org/10.1007/978-1-4419-9779-1_11
Publication status	Published - 2011

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10.1007/978-1-4419-9779-1_11

1000006755Fntmat_chpt.pdfFinal published version, 552 KB

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N2 - The eye is sometimes said to provide a window into the health of a person for it is only in the eye that one can actually see the exposed flesh of the subject without using invasive procedures. That ‘exposed flesh’ is, of course, the retina, the light sensitive layer at the back of the eye. There are a number of diseases, particularly vascular disease, that leave tell-tale markers in the retina. The retina can be photographed relatively straightforwardly with a fundus camera and now with direct digital imaging there is much interest in computer analysis of retinal images for identifying and quantifying the effects of diseases such as diabetes.

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Image analysis of retinal images

Abstract

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