Archive March 28, 2021

KAHOOT CHAMPION (CSC 584)-20212

By in CSC 584

Course introduction

Chapter 1.1 – Review of Object Oriented Programming Concepts

Chapter 1.2 – Review of Object Oriented Programming Concepts (Inheritance)

Chapter 2 – Introduction to Java Enterprise Edition (Java EE)

Chapter 3.1 – Web Component – HTML and Servlet

Chapter 3.2 – Web Component – HTML and Servlet

Chapter 4.1 – Web Component – Java Server Page (JSP)

Chapter 4.2 – Java Server Page (JSP) 

Chapter 5 – Java Database connectivity

Chapter 6 – Enterprise JavaBean (EJB) Components

Chapter 7 – Development of Enterprise Application

Chapter 8 – Packaging and Deployment of Enterprise Application

Course syllabus & Schema of work (MRD 531)

By in MRD 531

This course is a continuation from Digital Image Processing I. Further understanding of the underlying principles of digital image formation and related technical aspects, and their applications in medical imaging areas will be emphasised. Appreciation of problem solving methods employed by using various image processing techniques will also be highlighted. Application of image analysis techniques as they apply to different imaging modalities will also be discussed. Students will also be exposed to current approaches in image processing with respect to particular imaging modalities.

At the end of the course, students should be able to:

  • Explain the various image processing techniques related to digital image processing; and the concept and function of health/hospital information system.
  • Solve problems related to image processing in medical imaging using various image processing techniques.
  • Demonstrate information retrieval and management skills through internet and literature search related to current health/hospital information system.

Course Syllabus

TopicRemarks
WEEK 1
(29/3 – 2/4)
Chapter 1 – Review of Image processing Topics
 
• Image acquisition
• Image enhancement
• Image reconstruction
• Color Image Processing

Start Entrance Survey
 
Lecture note 1:
Review of Image processing Topics
 
Lab 1: Lab Introduction
WEEK 2 
(5/4 – 9/4)

Chapter 1 – Review of Image processing Topics (continue)

• Image acquisition
• Image enhancement
• Image reconstruction
• Color Image Processing

Exit Entrance Survey

Lecture note 1:
Review of Image processing Topics
 
Lab : Lab Introduction
 
WEEK 3
(12/4 – 16/4)

Chapter 1 – Review of Image processing Topics (continue)

• Image acquisition
• Image enhancement
• Image reconstruction
• Color Image Processing

Lecture note 1:
Review of Image processing Topics
 
Lab 1: Matlab GUI
WEEK 4
(19/4 – 23/4)

Chapter 2 – Image Compression

• Lossy image
• Lossless image compression



Start Assignment 1

Lecture note 2:
Image Compression
 
Lab 2:
Assignment 1 (Compression)


WEEK 5
(26/4 – 30/4)

Chapter 3 – Morphological Image Processing

• Erosion and Dilation
• Opening and Closing
• Basic Morphological Algorithm


Lecture note 3:
Morphological Image Processing
 
 
Lab 3:
Morphological operations
Download images
WEEK 6
(3/5 – 7/5)

Chapter 4 – Image Segmentation

• Point, line, and Edge detection
• Thresholding
• Region-based Segmentation


Submit Assignment 1 (10/5/2021)(Monday)
 
Lecture note 4:
Image Segmentation
 
Lab 4:
Thresholding
Download images
(10/5 – 16/5)SEMESTER BREAK (HARI RAYA AIDIL FITRI)
WEEK 7
(17/5 – 21/5)

Chapter 4 – Image Segmentation (continue)

• Point, line and Edge detection
• Thresholding
• Region-based Segmentation


Lecture note 4:
Image Segmentation
 
Lab 5:
Point, line and edge detection
Download images
WEEK 8
(24/5 – 28/5)
TEST 1 (25/5/2021)
Chapter 1 – 3
(2 Hours)
(30/5 – 6/6)CUTI PERAYAAN KHAS
WEEK 9
(7/6 – 11/6)

Chapter 5 – Representation and Description
 
• Representation
• Boundary descriptor
• Regional Descriptor
 
Start Student Feedback Online (SuFO)

Lecture note 5:
Representation and Description
 
Lab 7: 
CNN using MATLAB toolbox (Part 1)
WEEK 10
(14/6 – 18/6)

 
Chapter 6 – Object Recognition

• Pattern and Pattern Classes
• Recognition based on Decision-theoretic Methods
• Structural Methods
 

 
Lecture note 6:
Object Recognition
 
Lab 8: 
CNN project with GUI in MATLAB (Part 2)
Download project file
WEEK 11
(21/6 – 25/6)

Chapter 7 – Picture Archiving and Communication System (PACS) and DICOM Telemedicine
 
• Telemedicine and Teleradiology
• Health information system
• Radiololgy information system
 
 

Lecture note 7:
Picture Archiving and Communication System (PACS) and DICOM Telemedicine
 
Lab 9: 
Recognise flowers using CNN in MATLAB using GUI (Part 3)
Download flower dataset
WEEK 12
(28/6 – 2/7)

Group project preparation

Lab: Group project		Progress presentation
WEEK 13
(5/7 – 9/7)

Group project preparation

Lab: Group project		Progress presentation
WEEK 14
(12/7 – 16/7)

Group project presentation		Exit Survey
 Group project presentation
Exit Student Feedback Online (SuFO)
(17/7 – 21/7)Study week
WEEK 15
(22/7 – 12/8)

Final assessment		Submit Project report (25/7/2021)(Sunday)
FINAL EXAMINATION (27/7/2021) (Tuesday)