Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer
| Autor: | Sadaf Ayaz, Muhammad Usman Akram, Sadaf Sahar, Madeeha Zafar, Yasser Nadeem |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
medicine.medical_specialty
genetic structures medicine.diagnostic_test business.industry Retinal Diabetic retinopathy Degeneration (medical) medicine.disease eye diseases chemistry.chemical_compound Choroidal neovascularization Optical coherence tomography chemistry Ophthalmology medicine Central vision sense organs medicine.symptom business Age related disease |
| Zdroj: | Neural Information Processing ISBN: 9783319126425 ICONIP (3) |
| Popis: | Choroidal Neovascularization (CNV) is an age related disease which deals with the Degeneration of Macular tissue. This degeneration causes acute drop in central vision as the age progresses. Therefore it is necessary to identify the changes caused by CNV for the Successful detection of this disease. In CNV the Retinal Pigment Epithelial (RPE) layer encounters changes in different attributes which can be identified with the help of Optical Coherence Tomography (OCT) Images. This paper focuses on analyzing the changes caused in the RPE layer due to CNV. The proposed system segments out RPE layer and observes the changes in RPE layer by calculating different features like Euler Number, Energy, Homogeneity and Correlation. The system is tested on locally gathered dateset of 50 images from different patients and has achieved an accuracy of 98%. |
| Databáze: | OpenAIRE |
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