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

Overview

Program

Class Type

Graduate Course

Credits

2