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Releases: DiamondLightSource/SuRVoS

Version 1.5.3

10 May 09:16
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This latest version of SuRVoS has a number of bug fixes and improvements.

  • Updates code to Python 3
  • Adds ability to save trained classifiers (along with filter and supervoxel settings). These can then be used to segement new data.
  • Directory locations for data loading/workspaces persisit between sessions.
  • Support for 4K displays.
  • Up to 10 undos when annotating (previously 1).
  • Fixes for a number of bugs that caused crashes.

Version 1.0

16 Jan 16:49
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SuRVoS (Super-Region Volume Segmentation) Workbench is a new software for semi-automated segmentation of 3D image volumes. It has been developed jointly between the University of Nottingham, UK and Diamond Light Source, UK and is open source: https://diamondlightsource.github.io/SuRVoS/

SuRVoS can be used on volume data from a variety of techniques, e.g. electron tomography, SEM, cryo soft X-ray tomography, and with no restrictions on sample type. It provides high-level filtering and machine learning algorithms for feature detection and model training. It also provides super-region building for smarter, quicker segmentation and a set of tools for data analysis.