A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  To detect and identify the Diabetic disease detection using Deep-Learning techniques. Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  In the field of diabetic

A Novel Transformer Model With Multiple Instance Learning for Diabetic Retinopathy Classification

5,500.00
Aim: To design and implement an advanced diagnostic system for retinal disease classification, combining state-of-the-art feature extraction and classification models for superior accuracy.

Efficient Classification Of Diabetic Retinopathy Using Binary Cnn

5,500.00
Aim: To detect the diabetic retinopathy disease in the earlier stage using Deep learning method Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā  Diabetic Retinopathy is