Difference between revisions of "2017 Winter Project Week/Multi-ModalitySegmentationOfUSandMRImagesForGliomaSurgery"
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* Multi-Modual Image Segmentation of preoperative MR- and intraoperative Ultrasound(US)-images | * Multi-Modual Image Segmentation of preoperative MR- and intraoperative Ultrasound(US)-images | ||
* Segmentation of the following anatomical structures: Falx cerebri, tentorium cerebelli, white matter, gray matter, CSF (ventricles), blood vessels. | * Segmentation of the following anatomical structures: Falx cerebri, tentorium cerebelli, white matter, gray matter, CSF (ventricles), blood vessels. | ||
| + | * Testing applicability of Deep Learing on current data | ||
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* Generation/ Refinement of ground truth data | * Generation/ Refinement of ground truth data | ||
* Generation/Creation/Refinement of characteristic (anatomical) landmarks (e.g. charactersitic representation of cerebellum, insula cortex (lateral sulcus), choroid plexus. | * Generation/Creation/Refinement of characteristic (anatomical) landmarks (e.g. charactersitic representation of cerebellum, insula cortex (lateral sulcus), choroid plexus. | ||
| + | * Prepare images for Deep Learning and seeting up Deep learning infrastructure. | ||
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<!-- Progress and Next steps bullet points (fill out at the end of project week) --> | <!-- Progress and Next steps bullet points (fill out at the end of project week) --> | ||
Revision as of 16:48, 9 January 2017
Home < 2017 Winter Project Week < Multi-ModalitySegmentationOfUSandMRImagesForGliomaSurgery
Several structures of the brain segmented from US- and MR images.
Key Investigators
- Jennifer Nitsch, University of Bremen (Germany)
Project Description
| Objective | Approach and Plan | Progress and Next Steps |
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