WEEK 17 FYP 2: Plagiarism Checking

   Alhamdulillah, I have finish report writing. Next week is the submission date for report. I had sent the softcopy to supervisor for plagiarism checking.

The plagiarism % must not exceed 20%. Alhamdulillah I managed to get 0% for my plagiarism checker,

WEEK 16 FYP 2: Adding a few previous studies

After I recheck my Chapter 2, I found that , I need to add more case studies regarding ANN. This are 3 articles that I reviewed.

Vayada, D. (2018, June 27). Intuitive image processing - Watershed segmentation. Retrieved from https://medium.com/@dhairya.vayada/intuitive-image-processing-watershed-segmentation-50a66ed2352e.

Kaur, A. (2014). Image Segmentation Using Watershed Transform. International Journal of Soft Computing and Engineering (IJSCE), 4(1), 5–8.

Rani, G. U. (2014). Automatic Red Blood Cell Counting using Watershed Segmentation. International Journal of Computer Science and Information Technologies, 5(4), 4834–4838.

VermVerma, S. K., & Verma, M. D. (2018). Mushroom Classification Using ANN and ANFIS Algorithm. IOSR Journal of Engineering (IOSRJEN), 8(1), 94–100.

a, S. K., & Verma, M. D. (2018). Mushroom Classification Using ANN and ANFIS Algorithm. IOSR Journal of Engineering (IOSRJEN), 8(1), 94–100.

WEEK 15 FYP2: Continue Report Writing

Continue report writing

This week, i meet my supervisor to discussed a few things that can be improved based on my report for FYP1. He asked me to provide a better and complex flowchart for my report. I decided to add ANN process flowchart which is shows the overall process of training and testing.

Add ANN flowchart to define overall ANN process for analysis

related facts regarding the pattern recognition is discussed in the report

WEEK 14 FYP2: Technical Briefing by Dr. Mohd Noor

📌 Final Briefing for Technical Paper
📅 1/November/2019 (Friday)
⏰ 2:45pm - 5:00pm

Speaker giving few important tips to write a good technical paper. 

• Separate results and discussion
• Change title if not suitable for technical paper. For example: Machine Learning: Sickle Cell Anemia Image Analysis

        * Suitable title for technical paper: Analysis of Sickle Cell Anemia Images using                     Machine Learning.*

• Used past tense 
• 3 paragraphs for introduction.
• no need to put formula
• Prove discussion using the facts. 

WEEK 13: Meet Supervisor

📌 Medical Electronics Section Level 5
⏰ 3pm-4pm

Meet Supervisor to review FYP 2 presentation marks. We also review a few things that need to be improve on report writing based on the FYP 1 report writing.

1. Literature Review- Supervisor want us to review article by author not by comparison.
2. For my research, ANALYTICS on every performance obtain must be presented by graphic.

WEEK 12 FYP 2: Technical Paper Writing

📌  Research Department Level 1
⏰  18/10/19-1pm

Today I went to Research Department to meet Dr. Marwangi. She would like to share some tips regarding technical paper writing with us. The tips sharing is based on Taylor University Eureka Conference 13th.

There are a few aspects that students always neglecting while completing thesis, as students is not get used to thesis writing.

1. Abstract- Cover introduction, objective, result achievement and conclusion. Abstract must be written in 1 paragraph. Abstract must be contain the holistic idea about the research.
2. Acknowledgement - state the research is financially supported by...
3. Methodology- must contain specific figure that help to explain about the method and technique used in the research briefly. Every figure and table must be label correctly.
4. Result - Put all the results that can answer the objectives of the research.
5. Introduction- Must cover every keyword background, explain a little bit about the existing solution used in industry. If this research successs, where it can be apply ?
- Explain importance of the solution proposed to the society.\
- Revert back problem statements, don't ever critic on the existing used.  After that, we explain about the improvement to the problem that usually appear using the existing methods. Mini conclusion on why the existing solution need an improvement.
6. Objective- Combine all the objectives, no need to write it too long.

WEEK 11 FYP2: Exhibition Day

👉FYP 2 Exhibition Day
⏰9am-1pm
📌Dewan Gemilang

The students is required to set up booth at 8am. The accessors will come access students start from 9am. Alhamdulillah everything went well. Both of my accessor came early and together.

My acessor is Sir Shah Rizailli Bin Mukhtar from the Medical Electronics section and Madam Noraini, a Biomedical Engineer from Princeton Medical Centre. 

WEEK 10 FYP2: Still figure out on the Neural Networks

📌 Meet Dr. Zaki from the Electronic Section

From the data that i've collected, Dr. suggested me to add more data and parameter for training as it will be better to improve the performance. 

I also try adding K-Median filter to help enhance the image, to reduce the noise present in the blood sample image. This also will help in improving the detection process

For training, as we want to obtain the better performance and for the system to give the correct classification, train Levenberg-Marquardt is applied on the coding as it can train the networks more faster. 

https://www.mathworks.com/help/deeplearning/ref/trainlm.html;jsessionid=fff17f597d8ea3451fc8c8f950ee

https://www.neuraldesigner.com/blog/5_algorithms_to_train_a_neural_network

👉Final FYP2 Briefing by Dr. Imran Sofi
⏰ 2/10/19(Wednesday-3pm)

 

Dr. Imran remind us about the exhibition on 9/10/19

The submission for the FYP2 report is on 29/11/19

Submission of Technical paper must be through supervisor first and then to the FYP Committee.

 

👉Meet Supervisor on 4/10/19⏰9am-10am

Supervisor share few important tips on Exhibition Day. 

WEEK 9 FYP2: Understanding the architectural of Neural Networks

📔Explain the data tabulated

The data is being divided into 3 parts which is 70% for training, 15% for validation and 15% for testing. The performance of the training data can be observed by looking at the cross entropy performance in the neural networks window. 

The system achieved the better performance with it's value is near 0.00

Epoch = represent the number of iterations of the training data. 

After finish the process of detection, the classification process of training by ANN is applied to verify the validity purposed operation of detection. The benefits of training the data includes, it will be easier for the system to provide the correct output to the input. With this system, the documentation can be done specifically and the diagnosed/prognosed steps can be done faster.

WEEK 8 FYP2: Gathering data

Gather data for detection level and sorting data for ANN steps, becuase of the data provided form Hospital Ampang is limited, i tried to obtain few data on normal Red Blood Cell sample from the databank:

1. kaggle
2. UCI
3. image.hematology

The image then preprocess to obtain information from the image, make it able to be trained in the Matlab using Pattern Recognition apps.

The Sickle Cell is detected using the Form factor (Semicircular) formula. This formula detected cell which having <1.78 form factor is distinguish as sickle cell. 

WEEK 7 FYP: Improving method with watershed and figure out problem with the coding writing

📌Consultation with Supervisor
⏰6/9/19- 3pm

Watershed is one of the segmentation technique to separate the objects from the background so the objects can be detect well. By using the technique also, the overlapped cells can be separated as much as can. 

WEEK 6 FYP2: Coding Progress Writing

I've been completing my coding writing until the counting steps. Alhamdulillah, it's works. But in order to improve the cell detection, i need to apply coding on separating the overlapped cells. The formula cannot identify the overlapped cells. So right now, i'm working on the watershed methods to improves the detection of cells.

📌 Watershed coding

      there still need an improvement to really make this coding works, because as i run the codes in the Matlab, looks like there's still many error in it.

WEEK 5 FYP2: FYP Briefing (2), Meeting Supervisor

*continue from the previous post

📌Chapter 5: Conclusion and Recommendation
📆21/8/2019
📢Dr. Imran Sofi

As for chapter 5, here are the things that need to highlighted: 

• Improve/recommendation
• projects limitations and scopes
• comments from assessors during FYP exhibition day

📌BMeds office level 5

I show him the coding that i've been writing, also asked him few suggestions on what methods can be used for segmented. Finally, we choose to do it manually by coding cause it seems simple and easy to understand. My SV also make a comments on last semester report writing.