- 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...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1167/iovs.12-10191
-
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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
- Language:
- English
- Keywords:
- Copyright date:
- 2012
Journal article
Automated detection of malarial retinopathy-associated retinal hemorrhages.
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