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66 results on '"Exudates"'

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1. Exudates

2. Proposed Model for the Detection of Diabetic Retinopathy Using Convolutional Neural Networks

3. Analysis of Deep Learning Performance for Diabetic Retinopathy Severity Classification

5. Design Novel Detection of Exudates Using Wavelets Filter and Classification of Diabetic Maculopathy

7. The Development of a Tool for the Detection of Cotton Wool Spots, Haemorrhage, and Exudates Using Multi-resolution Analysis

9. Interpretation of Feature Contribution Towards Diagnosis of Diabetic Retinopathy from Exudates in Retinal Images

10. Identification of Diabetic Retinopathy Using Robust Segmentation Through Mask RCNN

11. Prediction of Cardio Vascular Disease from Retinal Fundus Images Using Machine Learning

12. Diagnostic System and Classification of Diabetic Retinopathy Using Convolutional Neural Network

13. Grading of Diabetic Retinopathy Using Machine Learning Techniques

14. Classification of Fundus Images for Diabetic Retinopathy Using Machine Learning: a Brief Review

15. Classification of Diabetic Retinopathy Using PSO Clustering and Raspberry Pi

17. Diabetic Retinopathy Detection at Early Stage Using a Set of Morphological Operations

20. Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates, and Diabetic Retinopathy Diagnosis from Digital Fundus Images

21. Secured Diabetic Retinopathy Detection through Hard Exudates

22. Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy

25. Retinal Vascular Characteristics

26. Exudate-Based Classification for Detection of Severity of Diabetic Macula Edema

27. Comprehensive Study on Diabetic Retinopathy

28. An Embedded System for Watershed Based Hard Exudate Extraction

29. Detection of Exudates from Fundus Images

31. Exudates Detection from Digital Fundus Images Using GLCM Features with Decision Tree Classifier

32. Exudate Detection in Fundus Images: Multispace Clustering Approach

34. Automatic Identification and Classification of Microaneurysms, Exudates and Blood Vessel for Early Diabetic Retinopathy Recognition

35. Real Time Periodic Assessment of Retina of Diabetic Patients for Early Detection of Diabetic Retinopathy

36. Detection of Exudates Through Local Binary Pattern in Diabetic Retinopathy

37. Exudates Detection in Diabetic Retinopathy Images Using Possibilistic C-Means Clustering Algorithm with Induced Spatial Constraint

38. Automated Detection of Diabetic Retinopathy Using Weighted Support Vector Machines

39. Robust Detection of Hard Exudates for Diagnosis of Non-proliferative Diabetic Retinopathy Using Integrated Approach

40. A Novel Approach of Retinal Disorder Diagnosing Using Optical Coherence Tomography Scanners

41. Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images

42. Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage

46. Automatic Detection of Diabetic Retinopathy Using Two Phase Tophat Transformations—A Novel Approach

47. Classification of Diabetic Retinopathy Stages Using Image Segmentation and an Artificial Neural Network

49. Smartphone-Based Decision Support System for Elimination of Pathology-Free Images in Diabetic Retinopathy Screening

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