Machine Learning for Imaging - CO416
The course covers the fundamental concepts and advanced methodologies of machine learning for imaging and relates those to real-world problems in computer vision and medical image analysis. The aim is to provide an overview of different approaches of machine learning including supervised and unsupervised techniques with an emphasis on deep learning methods. Applications include image classification, semantic segmentation, object detection and localization, and registration.
This course teaches the necessary skills that enable students to work and conduct research in the field of image computing and applied machine learning.