CMPUT 617 - Medical Image Analysis with Deep Learning

Overview

Medical image analysis has now grown into a significant subarea of visual recognition or computer vision. Tasks include deformable image registration, medical image segmentation, object boundary delineation, object tracking and so forth. The course will introduce deep learning methods for solving these tasks. Significant challenges include working with limited amount of labeled data in a learning setting. Color variations need to dealt with successfully in several applications. Assignments will need to use PyTorch. Students will choose individual course project topic.

Objectives

Various medical image analysis tasks will be introduced from machine learning and optimization point of view. The students will be using PyTorch for programming assignments. Students will be introduced to various challenges in medical image analysis and they will be encouraged to look for solutions to those.

Course Work

  • Assignments
  • Projects
  • Presentation

Related Research Areas

  • Computer Vision and Multimedia Communications
  • Machine Learning