1. Classification of Stages of Diabetic Retinopathy in Human Retina
A.L Nanayakkara

2. Outline Introduction Motivation Methodology (ANN approach)
Issues with existing approach
Why MA?
Proposed Approach
Q&A

3. Introduction

4. Diabetic Retinopathy
Diabetic retinopathy is a leading problem that is occurs in the vast variety of diabetic patients.
It’ll lead into eventual blindness by damaging the blood vessels in human retina.

5. Diabetic Retinopathy Depends on, Micro aneurysms Exudates Hemorrhages
Non Proliferative DR
Proliferative DR
Depends on,
Vessel tortuosity

6. Motivation Screening diabetic retinopathy is Time consuming
Ophthalmologists have to discover large area at once
Evaluation is performed using
Expensive equipment involvement such as fundus camera
Experts involvement

7. Methodology-ANN approach
Retinal Image Acquisition
Preprocessing
Feature Extraction
Stages of NPDR classification
Feed into ANN
Convert into statistical data
The most suitable classifier is MLP because of these statistical data set
CLAHE –contrast limited adaptive histogram equalization - for statistical data
Healthy
Mild
Severe
Here it obtained 85 % accuracy
Moderate

8. Issues with Existing approach
Restricted architecture
Extendibility for various diseases
Cannot explain reasons for solution
Cannot mimic expertise of multiple experts
Because of that we hope to utilize the MA solution for DR classification

9. Why MA?
Retinal anomaly diagnosis is a, Complex situation Has dynamically changing with patient to patient These kind of complex situation MA gives better solution rather than ANN.

10. Proposed Methodology Retinal Image Acquisition Feature Extraction
Preprocessing
Feature Extraction
Stages of NPDR classification
Develop Agent Solution
Healthy
Severe
Mild
Moderate

11. Thank You

12. Q & A