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Journal article

Automated detection of malarial retinopathy-associated retinal hemorrhages.

Abstract:

PURPOSE: To develop an automated method for the detection of retinal hemorrhages on color fundus images to characterize malarial retinopathy, which may help in the assessment of patients with cerebral malaria. METHODS: A fundus image dataset from 14 patients (200 fundus images, with an average of 14 images per patient) previously diagnosed with malarial retinopathy was examined. We developed a pattern recognition-based algorithm, which extracted features from image watershed regions called sp...

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Publication status:
Published

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Publisher copy:
10.1167/iovs.12-10191

Authors


Reinhardt, JM More by this author
Garvin, MK More by this author
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Journal:
Investigative ophthalmology and visual science
Volume:
53
Issue:
10
Pages:
6582-6588
Publication date:
2012-10-05
DOI:
EISSN:
1552-5783
ISSN:
0146-0404
URN:
uuid:2fa5c2d8-7504-498e-a68c-2c547b6407aa
Source identifiers:
349840
Local pid:
pubs:349840

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