Diabetic Retinopathy Detection using MATLAB Report 2022

A Project Report submitted in partial fulfillment of
the requirements for the Degree of Master of
Science in Electronic Engineering (MSc-EE)
Diabetic Retinopathy Detection using MATLAB
Author: Hamood Ali Hamood Al shamaly and MEC ID PG17F1795
Supervisor: Dr.Sumesh Eratt Parameswaran
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Office Stamp
DECLARATION OF ORIGINALITY AND COPYRIGHT STATEMENT
Declaration of Originality
This project is all my own work and has not been copied in part or in
whole from any other source except where duly acknowledged. As
such, all use of previously published work (from books, journals,
magazines, the Internet, etc) has been acknowledged within the
main report to an entry in the References list.
I agree that an electronic copy of this report may be stored and
used for the purposes of plagiarism prevention and detection.
I understand that cheating and plagiarism constitute a breach of
University Regulations and will be dealt with accordingly.
Student Name and ID:Hamood Ali Hamood Al-Shamaly,ID:PG17F1795
Signed: Date:
Office Stamp
Copyright
The copyright of this project and report belongs to Middle East College.
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MSc (EE) Individual Project
Declaration by Examiners
I / We have examined this report titled
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.............................. submitted by ......................................................................ID
No.................................... in partial fulfillment of the requirements of MSc (EE)
Course during Summer 2019 semester.
Signature of Supervisor
Signature of 2nd Marker
Name of Supervisor Name of 2nd Marker
Date: Date:
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APPROVAL FORM
The project design & implementation report entitled Diabetic Retinopathy Detection
using MATLAB submitted by Hamood Ali Hamood AL-Shamaly ID PG17F1795 is
approved in partial fulfillment of the requirements for degree of Bachelors of Engineering
in Electronics and Telecommunication.
_________________________
Supervisor
Full name:
Department:
Date:
_______________________
Examiner 1
Full name:
Department:
Date:
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ACKNOWLEDGEMENT
I would like to express my sincere gratitude to my supervisor “Dr.Sumesh Eratt
Parameswaran” who has guided me and corrected me throughout the way of developing
this project. I am also very thankful to the Head and faculty members of the Department
of Electronics & Telecommunication Engineering for supplying the source of
information and resources for this work. I do not have enough word to thank the
Ophthalmologist “Dr,Ashoka” who has consistently supported me and helped me out to
complete the testing phase of the software development. Without his support and
cooperation I could not develop this MATLAB based software. I am also very thankful
to my parents and family members who have continuously encouraged me to pursue my
dream.
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ABSTRACT
Diabetic retinopathy also known as diabetic eye is a medical condition which occurs as
an effect of severe level diabetes mellitus. Irrespective of the type of Diabetic
Retinopathy (DR) stage, early detection is very essential, where with a help of AI aided
digital system the detection process can be easier. The Purpose of this paper is to develop
a MATLAB base system that can analyse a fundus image taken through a Smartphone
from patient’s eye to detect the DR at very early stage. The research questions are:
What re the detection and segmentation process for the diabetic retinopathy including
Microaneurysm, Exudates, Haemorrhage and Optical Disk detection?
How to implement an automated system that uses deep learning based Artificial
Intelligence and image processing to classify diabetic retinopathy based on healthy&
unhealthy retinal image?
What are the efficiency and performance of this hybrid solution for diabetic
retinopathy through developing MATLAB GUI interfaced with Hardware?
For this diabetic retinopathy the deep learning AI method has been used to allow the
MATLAB base system to learn form a group of reference images to learn a pattern of
pixel positioning to detect exudates, haemorrhage, disk and other factors associated with
DR. For this system development, the V model software development framework has
been used where both black-box and white box testing was done in testing phase. The
accuracy and the performance of this DR detection system have been tested through
reviewing the results by a professional ophthalmologist.
The developed system is approximately 80% accurate in detecting NPDR and PDR as
well as segmentation of fundus image. The total time required for this software is less
that than 40 seconds are excluding the image taking and data transferring time. This
research is very valuable for the further improvement of clinical implementation of AI.
After testing the software it has been concluded there are still many opportunities to
improve the efficiency and accuracy of the system. After critical analysis it can be
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reflected that adding tutorial or user guide to the interface and using larger database of
reference images for AI will improve the quality of this DR detection system.
.
TABLE OF CONTENTS
Contents
DECLARATION................................................................................................................iii
APPROVAL FORM...........................................................................................................iv
ACKNOWLEDGEMENT...................................................................................................v
ABSTRACT.......................................................................................................................vi
TABLE OF CONTENTS..................................................................................................vii
LIST OF FIGURES.............................................................................................................x
LIST OF TABLES..............................................................................................................xi
LIST OF ABBREVIATIONS(for example)....................................................................xiii
LIST OF SYMBOLS (for example).................................................................................xiv
1. INTRODUCTION...........................................................................................................1
1.1 Background of the Project........................................................................................1
1.2 Problem Statement....................................................................................................3
1.3 Aims and Objectives.................................................................................................3
1.4 Project Limitations....................................................................................................4
1.5 Overview of the project report..................................................................................4
2. METHODOLOGY..........................................................................................................5
2.1 Introduction...............................................................................................................5
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2.2 Available methods and methodologies.....................................................................5
2.3 Justification and Description of chosen Methodology.............................................6
3. LITERATURE REVIEW................................................................................................7
3.1 Introduction...............................................................................................................7
3.2 Literature review.......................................................................................................7
3.3 Summarize Literature review.................................................................................18
3.4 Research Question..................................................................................................30
4. BUDGETING AND PROJECT MANAGEMENT.......................................................31
4.1 Project Budget........................................................................................................31
4.2 Project Schedule.....................................................................................................32
4.2 Risk Management...................................................................................................33
5. DESIGN AND ANALYSIS..........................................................................................34
5.1 Introduction.............................................................................................................34
5.2 System Initial Design..............................................................................................34
5.2.1 System Block Diagram......................................................................................34
5.3 Hardware.................................................................................................................35
5.3.1 Hardware Requirement...............................................................................35
5.3.2 System Hardware Design............................................................................35
5.3 Software..................................................................................................................36
5.3.1 Schematic Diagram......................................................................................36
5.3.2 Software Requirement.................................................................................38
5.3.2 System Software Design..............................................................................39
5.4 Functional Software Unit Design...........................................................................42
5.5 System Implementation..........................................................................................45
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