Detection of macula and fovea for disease analysis in color fundus images
| Autor: | Jyoti Prakash Medhi, S. R. Nirmala, Dharitri Deka |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Retina
medicine.medical_specialty genetic structures business.industry Diabetic macular edema Retinal Diabetic retinopathy Macular degeneration Fundus (eye) medicine.disease eye diseases chemistry.chemical_compound medicine.anatomical_structure chemistry Ophthalmology medicine Computer vision sense organs Artificial intelligence business |
| Zdroj: | ReTIS |
| DOI: | 10.1109/retis.2015.7232883 |
| Popis: | For the diagnosis of several retinal diseases, such as Diabetic Retinopathy (DR), Diabetic Macular Edema (DME), Age-related Macular degeneration (AMD) detection of macula and fovea is considered as an important prerequisite. If any abnormality like haemorrhages, exudates fall over macula then vision is severely effected and at higher stage people may become blind. In this paper a new approach for detection of macula and fovea is presented. Investigating the structure of blood vessels (BV) in the macular region localization of macula is done. The proposed method is tested on both normal and diseased images using DRIVE, MESSIDOR, DIARETDB1, HRF, STARE databases. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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