Description

 2886
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:07 m
Tags: Machine Learning, Deep Learning, TensorFlow, self-paced
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Reviews 626

  1. Bharatkumar Sharma

    Bharatkumar Sharma Reviewed about 9 hours ago
  2. Khanh Duc
    This lab gave me a very easy to understand about the concepts in using TensorFlow for image segmentation.
    Khanh Duc Reviewed 4 days ago
  3. Michelle Gill
    Excellent introduction to medical image segmentation using FCNs with TensorFlow.
    Michelle Gill Reviewed 4 days ago
  4. Osama Qazi

    Osama Qazi Reviewed 6 days ago
  5. Bill VanDyken

    Bill VanDyken Reviewed 6 days ago
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