Adil Khan 1 year ago
AdiKhanOfficial #FYP Ideas

Automated detection and classification of diabetic retinopathy using deep learning

Our project is related to automated detection and classification of diabetic retinopathy using deep learning. In this, we detect and classify the lesions. We use bench mark dataset that contain 1451 images. we use Mask RCNN model for training dataset, Faster RCNN for detection and SVM and Convo

Project Title

Automated detection and classification of diabetic retinopathy using deep learning

Project Area of Specialization

Mechatronics Engineering

Project Summary

Our project is related to automated detection and classification of diabetic retinopathy using deep learning. In this, we detect and classify the lesions. We use bench mark dataset that contain 1451 images. we use Mask RCNN model for training dataset, Faster RCNN for detection and SVM and Convolutional Neural Network for classification.  We find  the best accuracy and comparison this accuracy with previous ones.

Project Objectives

To predict the severity level of DR using retinal images.

To provide the capability to localize the exact lesion.

To enhance classification and detection classification on benchmark dataset with 6 classes.

To detect eye disease faster.

Project Implementation Method

Dataset preprocessing and data annotation.

Faster RCNN for detection.

Convolutional Neural Network for classsification.

Benefits of the Project

It can facilitate the fast processsing in eye disease.

This system helpful in health care centres.

Technical Details of Final Deliverable

MATLAB based application capable of classifying the given input  retinal images and also localize the lesion in retinaal images.

Final Deliverable of the Project

Software System

Core Industry

Medical

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
smartphone retinal camera with accessories Equipment16000060000
Total in (Rs) 60000
If you need this project, please contact me on contact@adikhanofficial.com
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