66 results on '"Exudates"'
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2. Proposed Model for the Detection of Diabetic Retinopathy Using Convolutional Neural Networks
3. Analysis of Deep Learning Performance for Diabetic Retinopathy Severity Classification
4. Agronomic Practices for Optimizing the AMF Abundance and Diversity for Sustainable Food Production
5. Design Novel Detection of Exudates Using Wavelets Filter and Classification of Diabetic Maculopathy
6. Severity Analysis Automation for Detection of Non-Proliferative Diabetic Retinopathy
7. The Development of a Tool for the Detection of Cotton Wool Spots, Haemorrhage, and Exudates Using Multi-resolution Analysis
8. An Efficient System for Grading Diabetic Retinopathy by Detecting the Location of Lesions
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
16. Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions
17. Diabetic Retinopathy Detection at Early Stage Using a Set of Morphological Operations
18. Algorithms for Diagnosis of Diabetic Retinopathy and Diabetic Macula Edema- A Review
19. Healthcare Informatics to Analyze Patient Health Records, for Enabling Better Clinical Decision-Making and Improved Healthcare Outcomes
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
23. A Review on Automatic Detection of Retinal Lesions in Fundus Images for Diabetic Retinopathy
24. Wound Care
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
30. Hidden Markov Random Field and Gaussian Mixture Model Based Hidden Markov Random Field for Contour Labelling of Exudates in Diabetic Retinopathy—A Comparative Study
31. Exudates Detection from Digital Fundus Images Using GLCM Features with Decision Tree Classifier
32. Exudate Detection in Fundus Images: Multispace Clustering Approach
33. Detection and Classification of Exudates and Non-exudates in Retinal Images
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
43. Serous Fluids Analysis
44. Early Diagnosis of Diabetes by Retinopathy
45. Bioavailability of Polycyclic Aromatic Hydrocarbons in Soil as Affected by Microorganisms and Plants
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
48. Bacterial Rhizoremediation of Petroleum Hydrocarbons (PHC)
49. Smartphone-Based Decision Support System for Elimination of Pathology-Free Images in Diabetic Retinopathy Screening
50. Soil Microbe Diversity and Root Exudates as Important Aspects of Rhizosphere Ecosystem
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