Algorithm 1: RDS-DR Implementation for feature extraction.
Required	Fundus Images and Labels $(X,Y)$
Step 1	Dataset acquisition, Fundus images $x \epsilon X$
Step 2	Pre-processing Data Augmentation Image enhancement
Step 3	Load ResNet Mobile Model# ImageNet pre-trained weights Convolutional layers
Step 4	Introduction of skip connections
Step 5	Use of the flattened layer, the feature map $x=(x1, x2,\dots \dots \dots xn)$
Step 6	Model evaluation