RDGY30440 Introduction to medical image analysis and machine learning

Academic Year 2020/2021

This module provides a foundation in image processing and analysis, and describes the computational tools that can be applied in the study of radiological images. It gives an overview of analysis possibilities used for diagnostic imaging and techniques that can be applied in the areas of image enhancement, background subtraction, region of interest definition, filtration, segmentation and image registration.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module, students will be able to: 1. Solve problems at the interface of computer science, imaging and medicine 2. Explain how digital images are represented, manipulated and processed. 3. Apply fundamental image processing algorithms to medical images to derive meaningful information. 4. Understand the complete image processing pipeline.

Student Effort Hours: 
Student Effort Type Hours
Lectures

10

Tutorial

1

Practical

10

Specified Learning Activities

40

Autonomous Student Learning

60

Total

121

Approaches to Teaching and Learning:
Not yet recorded 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Lab Report: Detailed record of practical sessions following the assignment guidelines Throughout the Trimester n/a Graded No

50

Presentation: Presentation based on theoretical content and personal research Throughout the Trimester n/a Graded No

50


Carry forward of passed components
Not yet recorded
 

Not yet recorded

Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Mr Patrick Leydon Tutor