Difference between revisions of "2017 Winter Project Week/2017 NVIDIA Demo Contest"
From NAMIC Wiki
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** Youtube Link: https://youtu.be/5lvY0cZ4qfk | ** Youtube Link: https://youtu.be/5lvY0cZ4qfk | ||
* [[2017 Winter Project Week/Knee Cartilage Segmentation | Knee Cartilage Segmentation]] (Hans Meine) | * [[2017 Winter Project Week/Knee Cartilage Segmentation | Knee Cartilage Segmentation]] (Hans Meine) | ||
| − | * [[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, Hans Meine) |
* [[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) | ||
*[[2017 Winter Project Week/Evaluate Deep Learning for binary cancer legion classification | Evaluate Deep Learning for binary cancer lesion classification]] (Curt Lisle) | *[[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 15:01, 17 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 |
|---|---|---|
|
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Background and References
Links to competition entries:
- Prostate Gland Segmentation with Fully Convolutional Neural Networks: (Alireza Mehrtash, Mehran Pesteie, Tina Kapur, Sandy Wells, Purang Abolmaesumi, Andriy Fedorov)
- Youtube Link: https://youtu.be/5lvY0cZ4qfk
- Knee Cartilage Segmentation (Hans Meine)
- Multi-Modality Segmentation of US- and MR-Images for Glioma Surgery (Jennifer Nitsch, Hans Meine)
- Needle Segmentation from MRI (Paolo Zaffino, Ziyang Wang, Guillaume Pernelle, Tina Kapur)
- Evaluate Deep Learning for binary cancer lesion classification (Curt Lisle)
