Adil Khan 1 year ago
AdiKhanOfficial #FYP Ideas

Deep Learning Based Diabetic Retinopathy Detection Using Optical Coherence Tomography

Diabetic retinopathy (DR) is one of the main reasons of preventable blindness globally. Performing retinal examinations on all diabetic patients is an unmet need, and detection at an early stage can offer better control of the disease. The&

Project Title

Deep Learning Based Diabetic Retinopathy Detection Using Optical Coherence Tomography

Project Area of Specialization

Artificial Intelligence

Project Summary

Diabetic retinopathy (DR) is one of the main reasons of preventable blindness globally. Performing retinal examinations on all diabetic patients is an unmet need, and detection at an early stage can offer better control of the disease. The goal of this project is to offer an optical coherence tomography (OCT) image based diagnostic technology for automated early DR diagnosis. This project can help ophthalmologists with evaluation and treatment, reducing the rate of vision loss, and enabling timely and accurate diagnosis.

Project Objectives

  • To gather useful data for the prediction of Diabetic Retinopathy (DR).
  • To classify the data in required classes. (Data Labelling)
  • To design a Deep Neural Network Model for the classification.
  • To analyze the result (Result Analysis).
  • To deploy the Model over a network with user friendly User Interface (UI) .
  • To write a complete Report of the Project

Project Implementation Method

A deep learning based model is to be designed which is able to diagnose Diabetic retinopathy in OCT(Optical Coherence Tomogrpahy) images. The complete implementation of the project is depicted in the block diagam

Benefits of the Project

Beneficiaries

  • Diabetic Patients (Early diagnosis of disease can prevent any harmful impact on body).
  • Ophthalmologists (They can easily identify the severity of the disease with more accuracy).

Technical Details of Final Deliverable

A web based portal built with web technologies HTML, CSS, JS, Python(Flask) which is integrated with our Deep Learning Model that will diagnose diabetic retnopathy in OCT images

Final Deliverable of the Project

Software System

Core Industry

Health

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)
Graphics Processing Unit (GPU) Equipment16800068000
Deployment Server Services Miscellaneous 180008000
Miscellaneous Miscellaneous 120002000
Total in (Rs) 78000
If you need this project, please contact me on contact@adikhanofficial.com
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