Difference between revisions of "2017 Winter Project Week/ProstateSectorSegmentation"
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* Test with ProstateX challenge dataset (where zones of findings are given) to predict the zone with Deep Learning | * Test with ProstateX challenge dataset (where zones of findings are given) to predict the zone with Deep Learning | ||
* if more training data is available: deep learning for an automatic sector segmentation | * if more training data is available: deep learning for an automatic sector segmentation | ||
| − | * | + | * Try atlas-based segmentation approach to map zone segmentations on more datasets |
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* Creation of 3 zone segmentations of the prostate (different volumes) | * Creation of 3 zone segmentations of the prostate (different volumes) | ||
* Prediction of zones in ProstateX challenge with Deep Learning is in progress | * Prediction of zones in ProstateX challenge with Deep Learning is in progress | ||
| + | * Next Steps: Create 3D model with higher resolution. Atlas based segmentation on more publicly available data. | ||
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==Background and References== | ==Background and References== | ||
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | <!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | ||
Revision as of 15:49, 13 January 2017
Home < 2017 Winter Project Week < ProstateSectorSegmentation
Transversal slice of Prostate MRI.
Sector Map according to PI-RADS v2.
Manual Segmentation on transversal slices.
Key Investigators
- Anneke Meyer, University of Magdeburg (Germany)
- Andrey Fedorov, BWH
- Alireza Mehrtash, BWH
- Christian Hansen, University of Magdeburg (Germany)
- Teodora Szasz, University of Chicago
Project Description
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