Difference between revisions of "2017 Winter Project Week/2017 NVIDIA Demo Contest"

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* [[2017 Winter Project Week/Multi-ModalitySegmentationOfUSandMRImagesForGliomaSurgery | Multi-Modality Segmentation of US- and MR-Images for Glioma Surgery]] (Jennifer Nitsch)
 
* [[2017 Winter Project Week/Multi-ModalitySegmentationOfUSandMRImagesForGliomaSurgery | Multi-Modality Segmentation of US- and MR-Images for Glioma Surgery]] (Jennifer Nitsch)
 
* [[2017 Winter Project Week/Needle Segmentation from MRI | Needle Segmentation from MRI]] (Paolo Zaffino, Ziyang Wang, Guillaume Pernelle, Tina Kapur)
 
* [[2017 Winter Project Week/Needle Segmentation from MRI | Needle Segmentation from MRI]] (Paolo Zaffino, Ziyang Wang, Guillaume Pernelle, Tina Kapur)
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#[[2017 Winter Project Week/Evaluate Deep Learning for binary cancer legion classification | Evaluate Deep Learning for binary cancer lesion classification]] (Curt Lisle)

Revision as of 16:53, 13 January 2017

Home < 2017 Winter Project Week < 2017 NVIDIA Demo Contest

Key Investigators

  • Abdul Halabi, NVIDIA
  • Abel Brown, NVIDIA

Project Description

Objective Approach and Plan Progress and Next Steps
  • To identify a Deep Learning that is appropriate for adding to NVIDIA's demo suite
  • Observe the projects in progress here, and award a TitanX card on Friday morning

Background and References

Links to competition entries:

  1. Evaluate Deep Learning for binary cancer lesion classification (Curt Lisle)