Table 1 Architecture of the network U when SURF is used on the DR1 and DR2 datasets
From: Convolutional bag of words for diabetic retinopathy detection from eye fundus images
Layer | Output size |
|---|---|
Input (dropout 30%) | 128 |
FC-ReLU (dropout 50%) | 500 |
FC-Softmax | 100 |