Description

 2119
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.
Lab Details
Tokens Required: 30 Tokens
Levels: Intermediate
Duration: 01 h:30 m
Access Time: 01 h:55 m
Setup Time: 00 h:08 m
Tags: Machine Learning, Deep Learning, TensorFlow, self-paced
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  1. Carlos Miguel Angulo Mascarell

    Carlos Miguel Angulo Mascarell Reviewed about 14 hours ago
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