Deep Learning for the Detection and Classification of Diabetic Retinopathy with an Improved Activation Function

Computer Science

• Activation Function 100%
• Deep Learning Method 100%
• Convolutional Neural Network 50%
• Neural Network Model 25%
• Residual Neural Network 25%
• Deep Learning Model 25%
• Processing Time 25%

Medicine and Dentistry

• Diabetic Retinopathy 100%
• Convolutional Neural Network 33%
• Diabetes 16%
• Diabetes Mellitus 16%
• Vascular Bundle 16%
• Early Diagnosis 16%
• Eye Disease 16%
• Fundus (Eye) 16%
• Deep Learning Model 16%

Biochemistry, Genetics and Molecular Biology

• Diabetic Retinopathy 100%