Friday, January 13, 2017
12:00 PM - 2:30 PM
There are a variety of important applications that need to go beyond detecting individual objects within an image and instead segment the image into spatial regions of interest. For example, in medical imagery analysis it is often important to separate the pixels corresponding to different types of tissue, blood or abnormal cells so that we can isolate a particular organ.
In this lab we will use the TensorFlow deep learning framework to train and evaluate an image segmentation network using a medical imagery dataset.
Participants should bring a laptop to class with an SSH client already installed. PuTTY is the recommended SSH client.