Difference between revisions of "2017 Winter Project Week/Evaluate Deep Learning for binary cancer legion classification"
From NAMIC Wiki
Line 22: | Line 22: | ||
<!-- Approach and Plan bullet points --> | <!-- Approach and Plan bullet points --> | ||
* Start with a dataset, prepared at the Frederick National Lab for Cancer Research, to use to train a classifier. | * Start with a dataset, prepared at the Frederick National Lab for Cancer Research, to use to train a classifier. | ||
− | * The dataset consists of a series of 50x50 Region Of Interest images containing cancer lesions and two image series which do not contain lesions. | + | * The dataset consists of a series of 50x50 Region Of Interest T2 images containing cancer lesions and two image series which do not contain lesions. |
* We plan to collect advice from others at the Project Week, 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, select a deep learning framework, and attempt to build a classifer using this training data. | ||
| | | |
Revision as of 13:30, 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
Objective | Approach and Plan | Progress and Next Steps |
---|---|---|
|
|
|