Artificial Intelligence and Image Analysis

You are viewing an older version of this academic item. To access a different version, adjust the year in the field above. For handbooks published prior to 2023, click the "Previous Handbooks" button at the bottom of the page.

Abstract

This subject explores the advanced concepts and innovations associated with artificial intelligence, neural network algorithms, machine learning and deep learning in medical image analysis. It will examine the foundation principles and explore the landscape associated with these concepts in artificial intelligence. The applications of machine learning and deep learning will be investigated, with the opportunity to critically discuss relevant concepts within the context of clinical and research medical image analysis. The subject aims to arm students with foundation understanding of the principles and working knowledge of artificial intelligence in medical image analysis.

Syllabus

MODULE 1: PRINCIPLES OF ARTIFICIAL INTELLIGENCEUnderstanding artificial intelligence ecosystem in image analysis;Artificial neural networks and machine learning; andConvolutional neural networks and deep learning.MODULE 2: APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN IMAGE ANALYSISUnderstanding artificial intelligence landscape in image analysis;Classification, segmentation, detection and localisation tools;Intelligent imaging applications in image analysis;Ethical challenges of artificial … For more content click the Read More button below.

MODULE 1: PRINCIPLES OF ARTIFICIAL INTELLIGENCE
Understanding artificial intelligence ecosystem in image analysis;
Artificial neural networks and machine learning; and
Convolutional neural networks and deep learning.
MODULE 2: APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN IMAGE ANALYSIS
Understanding artificial intelligence landscape in image analysis;
Classification, segmentation, detection and localisation tools;
Intelligent imaging applications in image analysis;
Ethical challenges of artificial intelligence in image analysis; and
Developing an artificial intelligence project.

Assumed knowledge

Undergraduate degree and clinical experience in medical radiation sciences.

Enrolment restrictions

Available for Single Subject Study for Postgraduate students who have a qualification in the Bachelor of MedRadSc (or equivalent)