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Leveraging Virtual Reality for Immersive Segmentation and Analysis of Cryo-Electron Tomography Data
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Using Virtual Reality to Improve Performance and User Experience in Manual Correction of MRI Segmentation Errors by

Dominique Duncan1, Rachael Garner2, Ivan Zrantchev2

  • 1Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Ave., Los Angeles, CA, 90033, USA. Dominique.Duncan@loni.usc.edu.

Journal of Digital Imaging
|July 22, 2018
PubMed

Keywords:
ImagingMRIQuality controlSegmentationVirtual reality

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