WEEK 17

Friday, 10 December 2021 

The proposal report has to submit by the end of this week. All FYP1 students need to submit the report to their supervisor. On my side, I just sent it to my supervisor Madam Azliza by email. 

After the submission, I continually learn how to develop my project system and create an excellent technique in this project from all the research.  

WEEK 16

Thursday, 2 December 2021 

This week, I continued to do more research in previous work and the coding program for more detail. Here are some of the outcomes from my research, especially in coding programs: 

The figure shows an example of the GUI apps coding program. 

In addition, I'm also making some corrections to the proposal report, especially in chapters 2 and 3. 

WEEK 15 - WORKSHOP 6

Wedneday, 24 November 2021 

Today's is the last workshop briefing about Claim and Important Date by Mr. Shaiful Osman. This briefing was conducted through an online platform Microsoft Teams. 

By this workshop, students must be alert of the submission date for the proposal, the report, the technical paper, and the date when to claim based on the project.  

Here is the important date for me as FYP1 students: 

WEEK 14

Tuesday, 16 November 2021 

Likewise, this week the writing of chapter 3 continues. This chapter contains the method used to develop the project, and the flow of the project has been discussed, along with how long it will take to complete. 

The picture above shows the overall block diagram for this proposed project. 

WEEK 13

Monday, 08 November 2021 

This week, the report writing continued for Chapter 2. Below is the title and summary of the journal that I review in the report. 

• Magnetic Resonance Imaging Image Segmentation and Brain Tumor Detection Using Pulse Coupled Neural Network 

" In  this article, a brain tumour detection system and various anomalies and abnormalities  are presented where image pre-processing and preparation include image enhancement,  filtering and noise reduction. In this research, the feature selection  and integration method are used and the most important statistical features of brain MRI  images are used to improve brain tumour detection.The pulsecoupled neural network (PCNN) can be used for image segmentation in the pre-processing  stage, especially in the image filtering."

. 

• A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

"In this paper, we present a fully automatic brain tumor segmentation and classification  model using a Deep Convolutional Neural Network that includes a multiscale approach.  The proposed neural model can analyze MRI images  containing three types of tumors: meningioma, glioma, and pituitary tumor, over sagittal, coronal,  and axial views and does not need preprocessing of input images to remove skull or vertebral  column parts in advance."

. 

• Brain Tumor Detection Analysis Using CNN: A Review 

"The tumor  in the Brain is the most dangerous disease and can be diagnosed  easily and reliably with the help of detection of the tumor  with automated techniques on MRI Images.  Several methods of  efficient diagnosis and segmentation of brain tumors have been  suggested by many researchers for effective tumor detection.  A  review method involving two-stage approaches for 20 research  papers published in the period from 2000 to 2020 has been  conducted to learn about tumor detection in MRI images.  The introduction of  quantitative image analysis resulted in fields such as MRI  Images. Algorithms and methodologies used to solve specific  research problems were included in the results and along with  their strengths and limitations."

. 

• Brain Tumor Extraction from MRI Images using MATLAB 

"Image segmentation is one of the most challenging techniques in the field of medical  image processing.  Brain tumor segmentation is emerging technique in this field." 

• Brain Tumor Detection from MRI Images using Deep Learning Techniques 

"From the MRI images  information about the abnormal tissue growth in the brain is identified.  When these  algorithms are applied on the MRI images the prediction of brain tumor is done very fast and a higher  accuracy helps in providing the treatment to the patients." 

• Brain Tumor Detection using Image Segmentation Techniques 

"In this work, dicom Magnetic Resonance Image  (MRI) is taken as an input and tried to extract tumor cells from  the input image.  Finally, image  thresholding is applied to this image followed by levelset  segmentation to extract tumor cells."

WEEK 12 - PRESENTATION DAY

Wednesday, 03 November 2021 

Today is Presentation Day, and the presentation started around 2.30 pm on an online platform Microsoft Teams. The assessors that assessed me were Sir Hisham Mohamad Desa and Madam Siti Afifah Hj Mohshim. Both lecturers are from the Medical Electronics Section. The whole presentation went well.

There are some comments and suggestions from both assessors: 

Comments:  

1. 

• the results mentioned are not clear 

2. 

 

the objective supposedly to be measurable  

The word study is not suitable and maybe can remove and change, i.e., to produce the image within 1 minute. 

 3. 

• try to have some guidance between detection of brain tumor either normal or tumor 
• For example, to know the normal brain put a range like 0 to 4.99 and vice versa. 

Suggestions: 

• Change the brain tumor title to skin or type of skin disease to get a more transparent result. 
• then only focus on Graphical User Interface apps in MATLAB 

WEEK 11

 Monday, 25 October 2021

This week, we are discussing with the supervisor the content to put in the slide presentation. Below is the critical content to have in slide :

Then, I have been preparing for my presentation slide and sending it to my supervisor to give comments and check if there is anything wrong. After that, I have also done some rehearsing and practicing for the presentation day. 

WEEK 10

Wednesday, 20 October 2021 

This week, I reviewed two journals from week 6 and pointed out the critical information such as the study's objective, problem statements, methodology, findings, and conclusion. Below I enclose the journal I have checked for this week. 

JournalReview 

Above is shown one of the flow charts proposed from one of the journals. 

WEEK 9

This week the meeting was conducted by Academic Supervisor to update progress about journals and proposals. Also, I have done Chapter 1, an introduction for proposals. Below is the resume work from last week; significance, scopes and limitation of the project. 

                          

WEEK 8 - WORKSHOP 4

Wednesday, 06 October 2021. 

Today's workshop briefing about Presentation and Defense Proposal by one of the Sect. Reps Madam Azliza Bte Mohamad Arshad. This briefing was conducted through the online platform Microsoft Teams. 

By this workshop, students get to focus on 4 main points before the day become. 

Friday, 01 October 2021. 

Below is the attachment to my work from week 7. Write an introduction, problem statement, and objective. 
Chapter 1_Introduction 

Friday, 08 October 2021. 

Here is one of the journals that I read that relate to the title: 

Brain Tumor Detection And Recognition From MRI Scan 

          "This paper focuses on the medical image processing which is considered nowadays a challenging field. It is an emerging domain which presents processing of Magnetic Resonance Images (MRI) as one of important part. This work proposes a fast and robust practical strategy to extract a brain tumour using patient's MRI scan images of the brain. For this purpose, some tools are used which include the basic concepts of image processing such as noise removal functions, segmentation and morphological operations. To detect and extract a tumour from MRI scan, a MATLAB software code is implemented. Some filtering techniques such as Median, Gaussian Filter also Graphical User Interface (GUI) by using MATLAB are proposed in this project." -summary of the project- 

WEEK 7 - WORKSHOP 3

Wednesday, 22 September 2021

Today's workshop is about Thesis Writing and Proposal Writing. The briefing conducted Online – Microsoft Teams and attendance of all the students are taking the FYP subject was compulsory.

The briefing conducted by Sect. Reps Mr. Azmi Hashim. 

In the briefing, the FYP committees have briefed us about:

• Results & Discussions (Ch 4), Conclusion (Ch 5). 
• Abstract in Thesis Writing or Summary in Proposal Report. 

Friday, 24 September 2021 

From meeting with Academic Supervisor (Madam Azliza), she commented about the blog content (logbook report) try to make it more flexible. Plus if put link journals or articles try to write a summary from the report journal or articles. 

Some homework from this week try to write:

• Problem Statement. 
• Objective. 
• Introduction. 

Below are the problem statement and objective that I try to write before this: 

Title, Objective, Problem Statement and Summary

WEEK 6

Wednesday, 15 September 2021

Today the ASV (Madam Azliza) asking to send at least two journals related to the title by Friday. The journals can be found on Google Scholar also other sources' websites. 

Below the attachments of journals also summary about the journals or articles: 

1. Brain Tumor Detection Based On Segmentation Using MATLAB

"This work is mainly focused on the detection and localization of the tumor region in the brain through the proposed methodology using magnetic resonance images of the patient. The proposed methodology consists of three stages i.e. Preprocessing, edge detection, and segmentation. This is followed by edge detection using the Sobel, Prewitt, and Canny algorithms with image enhancement techniques." 

2. Magnetic Resonance Imaging Image Segmentation and Brain Tumour Detection Using Pulse-Coupled Neural Networks 

"This article introduces a brain tumor detection system and various abnormalities and anomalies, where image preprocessing and preparation includes image enhancement, filtering, and noise reduction. Pulse Coupling Neural Network (PCNN) can be used for image segmentation at the pre-processing stage, in particular for image filtering."

WEEK 5 - WORKSHOP 2

Wednesday, 08 September 2021

Today's workshop is about the general briefing of the FYP 1. The briefing was conducted Online – Microsoft Teams and attendance of all the students are taking the FYP subject was compulsory.

The briefing was conducted by Sect. Reps Mr. Shah Rizailli Mukhtar. 

In the briefing, the FYP committees have briefed us about Thesis Writing :

• Thesis and Proposal format. 
• Thesis Writing and Proposal Writing for Chapters 1 - 3.   

Chapter 1 : INTRODUCTION 

• Background of the project. 
• Problem Statement. (2 points) 
• Objectives. (reflects to problem statement)
• Scopes and Limitations. 
• Chapter Summary. (summary of each chapter) 

Chapter 2 : LITERATURE REVIEW 

• Trying to make a comparison from other journals that are related to the title and find new features from the reading. 

Chapter 3 : METHODOLOGY 

• Introduction 
• Block Diagram ( basic shapes: boxes & circles)  
• Flowchart ( that have a feedback, instruction, programming and etc)
• Circuit Diagram 
• Product Diagram (sketching)
• Case Studies 

Thursday, 09 September 2021

Some journals that related to the title:    

1. Brain Tumor Extraction from MRI Images Using MATLAB 
2. A Survey on Brain Tumor Detection Using Image Processing Technique
   

WEEK 4 - Register Title of FYP

 Friday, 03 September 2021 

Last meetings, an Academic Supervisor (Madam Azliza) was given a task to make, some research and come out with a more suitable title, problem statements, and summary of the project. After discussing the project, I and ASV decided to change the title from Brain Tumor Detection Using Image Processing to:

Development of Brain Tumor Detection System Using Image Processing

Here is a rough summary of the project : 

" This project will use image processing technique on medical image to detect brain tumor. MRI image of the brain is processed for the detection of the tumor using MATLAB algorithm. This MRI images are preprocessed so that further morphological operation can be done. The system will detect the irregularity of the size and shape. The location of the tumor will also be identified. "

Then the title has been successfully registered. 

Saturday, 04 September 2021 

These some journals that related to the project : 

1. Brain Tumor Detection Based On Segmentation Using MATLAB

2. Brain Tumor Segmentation Using 3D Magnetic Resonance Imaging Scans

WEEK 3 - Title Project Discussion

Monday, 27 August 2021

As in the briefing, students can choose the title provided by the Academic Supervisor (Madam Azliza) or come up with their own ideas. After a bit of thought, I decided to choose the title with my own ideas. 

The title I have chosen are: 

• Brain Tumor Detection Using Image Processing
• Motion-Based Conveyer Messenger For Disabled Person 

From today meetings I have been discussed in detail the title projects with project had capabilities to do. Also from the two title I discussing, the title was approved by Academic Supervisor and I have decided to choose the Brain Tumor Detection Using Image Processing as FYP 1.

After meeting with ASV (Madam Azliza) and discussing, some amendments have to do to the title and try researching about the project more details and come out with objective, summary and problem statement of the projects. 

Problem Statement attachment.

 

 

WEEK 2 - WORKSHOP 1

 Wednesday, 18 August 2021. 

Today workshop is about the general briefing of the FYP 1. The briefing was conducted Online – Microsoft Teams and the attendance of all the students that are taking the FYP 1 was compulsory.
The briefing was conducted by Sect. Reps Mr. Shaiful Osman.

In the briefing, the FYP committees have briefed us about:

• Types of Assessments, Marks, Weightage (Credits and Duration, Scope of Projects, Title Selection)
• FYP Rules & Regulations (Submission date of Project)
• Activities Throughout Semester (Project Assessment, Presentation Day)

As students had to choose the title of the project cautiously. For Degree holders, the title should reflect the abilities and knowledge of the Degree holders. Students can choose a title provided by their Academic Supervisor (ASV) (Madam Azliza) or come up with their own ideas. 

WEEK 1

Friday, 13 August 2021. 

First-day meeting with my supervisor with is Madam Azliza. First of all, she used to explain the flow of the Final Year Project 1 (FYP 1) timeline. Also, she gives some ideas about what kind of project me and my friends can do. It comes out with two kinds of projects that are related to the Pandemic situation right now but she also gives a chance for us to find other projects. For now, she only asks me and my friends to search and have a good title of the projects and state the problem statement from the projects. 

Saturday, 14 August 2021. 

Now I have found some titles of the projects: 

1. Brain Tumor Detection Using Image Processing
   
2. Development of Optimal Photosensors Based Heart Pulse Detector 
3. Motion-Based Messenger Conveyer For Disabled Person/ Paralytic