MEDICAL IMAGE DIAGNOSIS IN HEALTHCARE

UTILIZING A WEB APPLICATION

PHASE II REPORT
Submitted by

KESHAV SR 2116200701124
MITHILESH KUMAAR JS 2116200701145

in partial fulfillment for the award of the degree

RAJALAKSHMI ENGINEERING COLLEGE, CHENNAI

ANNA UNIVERSITY :: CHENNAI 600 025

MAY 2024

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 ANNA UNIVERSITY : CHENNAI 600 025

BONAFIDE CERTIFICATE

Certified that this project “Medical Image Diagnosis In Healthcare Utilizing A

Web Application” is the bonafide work of “KESHAV SR (200701124) and

MITHILESH KUMAAR JS (200701145)” who carried out the work under my

supervision. Certified further that to the best of my knowledge the work reported

herein does not form part of any other thesis or dissertation on the basis of which a

degree or award was conferred on an earlier occasion on this or any other

candidate.

SIGNATURE SIGNATURE

Dr. P. KUMAR, M.E.,Ph.D., Dr. P. SHANMUGAM M.Tech., Ph.D.,

HEAD OF THE DEPARTMENT SUPERVISOR

Associate Professor,

Department of Computer Science and Department of Computer Science and

Rajalakshmi Engineering College, Rajalakshmi Engineering College,

Submitted to Project Viva-Voce Examination held on. _____________________

INTERNAL EXAMINER EXTERNAL EXAMINER

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 ABSTRACT

In today's world, the demand for medical diagnosis has become mandatory

and important in the field of medicine. The main idea behind clinical diagnosis is

to eliminate human error in clinical settings. Not only in medicine, but also in

many areas such as examining the earth with satellites and understanding all

activities in space. The motivation behind the development of this project is to help

doctors predict health problems using a simple website. The project aims to reduce

human error in medical image diagnosis, with the help of artificial neural networks

We also plan to improve user experience with a help of easy to use user interface

and by managing user history and preferences. The main purpose of the user

interface is to effectively communicate with the server and to produce the results to

the users in a human readable format. The data is processed and organized for

effective training of the model, and to make effective use of the data. The

technologies used here are convolutional neural networks, EfficientNetb3 for

image processing and Reactjs for web front-end. The data we use is image data.

The main problems faced by other tasks similar to image processing are

overfitting, hyperparameter sensitivity, and time consumption. Our projects help

eliminate all of the above. In general, we aim that doctors sometimes want the

fastest and quickest medical results for their patients. s

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 TABLE CONTENT

CHAPTER NO TITLE PAGE NO.

ABSTRACT v

ACKNOWLEDGEMENT vi

LIST OF TABLES vii

LIST OF FIGURES viii

LIST OF ABBREVIATION ix

1 INTRODUCTION 1
1.1 OBJECTIVE 3
1.2 EXISTING SYSTEM 3

2 LITERATURE SURVEY 4
3 SYSTEM DESIGN 11
3.1 INTRODUCTION 11
3.2 SYSTEM OVERVIEW 11
3.3 DEVELOPMENT ENVIRONMENT 12
3.3.1 Hardware Requirement 12
3.3.2 Software Requirement 13
3.4 SYSTEM WORKFLOW 14
3.4.1 user login 15
3.4.2 Homepage and Image Upload 16
3.4.3 Image Upload and Processing 16
3.4.4 Diagnosis Process 16
3.4.5. Result Presentation 17
3.4.6. Data Safety and Privacy 17
3.4.7 Logout and User Management 17

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4 PROJECT DESCRIPTION 18
4.1 METHODOLOGY 18

4.1.1 Data Collection 18

4.1.2 Data Labeling 19

4.1.3 Data Preprocessing 19

4.2 MODEL DEVELOPMENT AND

4.2.1 EfficientNet B3 20

4.2.2 Transfer Learning 20

4.2.3 Fine-tuning 20

4.2.4 Data Augmentation 21

4.2.3 Regularization 21

4.3. USER INTERFACE DEVELOPMENT 21

4.3.1 Front-End Development 21

4.3.2 Back-End Integration 22

4.3.3 Data Handling 22

4.4. MODULE DESCRIPTION 23

4.4.1 User Authentication Module 23

4.4.2 Photo Upload Module 23

4.4.3 Image Processing Module 23

5 RESULT AND DISCUSSIONS 25

6 CONCLUSION AND FUTURE 30

REFERENCES 33

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 ACKNOWLEDGEMENT

Initially we thank the Almighty for being with us through every walk of our life
and showering his blessings through the endeavor to put forth this report. Our
sincere thanks to our Chairman Mr. S.MEGANATHAN, B.E, F.I.E., our Vice
Chairman Mr. ABHAY SHANKAR MEGANATHAN, B.E., M.S., and our
respected Chairperson Dr. (Mrs.) THANGAM MEGANATHAN, Ph.D., for
providing us with the requisite infrastructure and sincere endeavoring in educating
us in their premier institution.

Our sincere thanks to Dr. S.N. MURUGESAN, M.E., Ph.D., our beloved
Principal for his kind support and facilities provided to complete our work in time.
We express our sincere thanks to Dr. P.KUMAR, M.E., Ph.D., Professor and Head
of the Department of Computer Science and Engineering for his guidance and
encouragement throughout the project work. We convey our sincere and deepest
gratitude to our internal guide, Dr. P.SHANMUGAM, M.Tech, Ph.D.,
Department of Computer Science and Engineering. Rajalakshmi Engineering
College for his valuable guidance throughout the course of the project. We are very
glad to thank our Project Coordinator, Mr. V.KARTHIK, M.tech(Ph.D)
Department of Computer Science and Engineering for his useful tips during our
review to build our project.

KESHAV SR

MITHILESH KUMAAR JS

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 LIST OF TABLE

TABLE.NO TITLE PAGE NO

3.1 Hardware Requirements 13

3.2 Software Requirements 14

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 LIST OF FIGURES

FIGURE.NO TITLE PAGE NO

3.1 Flow of the project 12

3.2 System Workflow 15

4.1 EfficientNetB3 Architecture 20

4.2 Image Processing Model 24

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 LIST OF ABBREVIATIONS

HTML - HyperText Markup Language

CSS - Cascading Style Sheets

CNN - Convolutional Neural Network

MRI - Magnetic resonance imaging

CT - Computed Tomography Scan

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