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Ability to Identify Brain Tumors Using Machine Learning

News   Oct 10, 2017 | Original story from the University of Texas at Austin

 
Ability to Identify Brain Tumors Using Machine Learning

The top row shows the initial configuration. The second row shows the same configuration at the final iteration of our coupled tumor inversion and registration scheme. The three images on the bottom show the corresponding hard segmentation. The obtained atlas based segmentation (middle image) and the ground truth segmentation for the patient are very similar. Image credit: Andreas Mang, Sameer Tharakan, Amir Gholami, Naveen Himthani, Shashank Subramanian, James Levitt, Muneeza Azmat, Klaudius Scheufele, Miriam Mehl, Christos Davatzikos, Bill Barth and George Biros

 
 
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