BIOF 399
Deep Learning for Healthcare Image Analysis
In this course, students will learn how to apply Convolutional Neural Networks (CNNs) to MRI scans to
perform a variety of medical tasks and calculations. Upon completion of this course, students will be able to
apply CNNs to MRI scans to conduct a variety of medical tasks.
INDIVIDUAL LAPTOP IS NEEDED FOR EACH CLASS (Mac, Linux or Windows).
Prerequisites
previous programming experience is not required, but is recommended.
Learning Objectives:
- Understand how to use popular image classification neural networks for semantic segmentation
- Use the popular R programming language with deep learning framework MXNet to create a powerful GPU accelerated convolution neural network (CNN) solution for quantitative medical image analysis
- Use deep-learning techniques to predict genomic biomarkers from medical image analysis
- Explore other areas of innovation and research
- Get hands-on guidance to try many different deep-learning frameworks