- 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
- 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.
Actions
Authors
Bibliographic Details
Item Description
Terms of use
Metrics
Altmetrics
Dimensions
If you are the owner of this record, you can report an update to it here: Report update to this record