WEEK 14: SUBMIT TECHNICAL PAPER

This week the submission for the technical paper is on Friday (03 June 2022). Then proceed to complete the Thesis and provide more research of details on the result of this project as commented on Presentation day last week. 

WEEK 13: PRESENTATION DAY

Wednesday, 25 May 2022 

Today is Presentation Day, and the presentation started around 2.30 pm on an online platform Microsoft Teams. The assessors who assessed me were Dr. Ahmad Sabry Mohamad and Dr. Hasmiza Harun. Both lecturers are from the Medical Electronics Section. The whole presentation went well.

There are some comments from assessors on the results. I need to be more detailed in classifying the MRI images in every approach method (anisotropic filtering, image segmentation, and morphological operation. 

WEEK 12: WORKSHOP 6

Wednesday, 18 May 2022 

Today's workshop on Claim and Documentation. The workshop is managed by Sir Shaiful Osman. In this workshop, the lecturer will elaborate more on this part: 

• Documentation for claim 
• Progress and proposal report submission 
• How, when, and where to upload the document/ report submission 

Also this week all FYP2 students need to be prepared for bunting on presentation day for next week. 

WEEK 11: WORKSHOP 5

Wednesday, 11 May 2022 

Today's workshop on Technical Paper Preparation. The workshop is managed by Dr. Punithavathi from Telecommunication Technology Section. The highlight of this workshop is the element consisting of a technical paper. 

WEEK 10: OVERVIEW CHAPTER 3 (METHODOLOGY)

Tuesday, 03 May 2022 

The most proposed previous methodology has been changed for better performance in this project analysis. Also, to define whether the brain of the MRI images has a tumor or not have to use the MATLAB app, not GUI, as previously method proposed. Below are the previous and new approaches to achieving the objectives of this project. 

Figure 1: Show the previous methods proposed. 

In previous methods, it comprises three stages: pre-processing, Image enhancement, and Image segmentation. For final results will display by the GUI app in MATLAB. This process will take time in Pre-processing by converting the image into greyscale by help with image enhancement. For GUI, MATLAB has advanced its features in using app designer than GUI for better analysis and results. 

Figure 2: Show the new approach in this project. 

New methods also include three stages: Anisotropic filtering, Image segmentation, and morphological operation. Anisotropic filtering is an alternate process to pre-processing and image enhancement by reducing noise in MRI images. While the morphological operation has been used to detect and specify the location of the presence of the tumor by that to achieve the objectives as stated. The results display using app designer in MATLAB to give a better perspective of the operations performance.