의료영상분석및비전

In this class, students will learn the basics of modern computer vision. The course will first cover low-level computer vision topics such as image filtering, edge detection, feature extraction, description and matching, grouping, and clustering. Then, we will cover high-level topics such as object detection, object recognition, segmentation, unsupervised learning, and generative models. We will cover recently popular techniques such as convolutional and recurrent neural networks. We will also discuss a few topics from recent computer vision conferences. Required: Object-Oriented Programming and Data Structures. Recommended: Linear Algebra basics.