Difference between revisions of "2017 Winter Project Week/MeningiomaSegmentation"

Revision as of 01:44, 13 January 2017

Home < 2017 Winter Project Week < MeningiomaSegmentation

Objective	Approach and Plan	Progress and Next Steps
Segment meningiomas in structural MR images. Assess state of brain after surgical removal of meningioma.	Evaluate performance of existing segmentation methods.	Progress Segmented with ANTs and FSL. Learned about Slicer segmentation tools, and segmented semi-automatically. Put in contact with people who have segmented meningiomas. Next steps Continue learning about what has been done in the past. Improve brain-extraction. Continue testing existing segmentation methods. Try Slicer in a Nipype workflow. Apply feature engineering techniques, like manifold learning. Get more data, and potentially train a neural network.

MR images of meningiomas that will be used in this project are available at OpenNeu.ro.

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 * Continue testing existing segmentation methods.
 * Try Slicer in a Nipype workflow.
-* Apply manifold learning (a method of dimensionality reduction).
+* Apply feature engineering techniques, like manifold learning.
 * Get more data, and potentially train a neural network.
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