Description

 1454
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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Reviews 375

  1. Hui Lin

    Hui Lin Reviewed about 16 hours ago
  2. Hanna Wu
    Could not find out how to get the output this time? need to check our MIS system.
    Hanna Wu Reviewed 3 days ago
  3. Renton Hsu
    Didn't see any implementation in code.......
    Renton Hsu Reviewed 3 days ago
  4. Yuta Imai

    Yuta Imai Reviewed 4 days ago
  5. Andreas Krebs

    Andreas Krebs Reviewed 6 days ago
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