Difference between revisions of "2017 Winter Project Week/Evaluate Deep Learning for binary cancer legion classification"
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− | * | + | * Start with a dataset, prepared at the Frederick National Lab for Cancer Research, to use to train a classifier. |
− | * The | + | * The dataset consists of a series of 50x50 Region Of Interest images containing cancer lesions and two image series which do not contain lesions. |
* We plan to collect advice from others at the Project Week to select a deep learning framework and attempt to build a classifer using this training data. | * We plan to collect advice from others at the Project Week to select a deep learning framework and attempt to build a classifer using this training data. | ||
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==Background and References== | ==Background and References== | ||
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | <!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> |
Revision as of 04:03, 9 January 2017
Home < 2017 Winter Project Week < Evaluate Deep Learning for binary cancer legion classificationKey Investigators
Curt Lisle, KnowledgeVis, LLC others are invited
Project Description
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