SuRVoS

User interface of SuRVoS showing example annotation on soft x-ray tomography data
Type
Component
Author
Luengo, Imanol
Basham, Mark orcid.org/0000-0002-8438-1415
Execution Platform
Linux
Implementation Type
standalone
Programming Language
Python
Supported image dimension
2D
3D
Interaction Level
Semi-automated
License/Openness
Free and open source
License
Apache version 2.0
Description

SuRVoS: Super-Region Volume Segmentation workbench

A volume is first partitioned into Super-Regions (superpixels or supervoxels) and then interactively segmented by the user providing training annotations. SuRVoS can then learn from and extend the annotations to the whole volume.

has function
Image segmentation
Interactive segmentation
Pixel classification
Prediction and recognition
Image annotation
has topic
Electron microscopy
Scanning electron microscopy
Focused ion beam scanning electron microscopy
Serial block-face scanning electron microscopy
Electron tomography
Cryo electron tomography
Machine learning
Additional keywords
superpixels
supervoxels
Entry Curator
martin.jones
Post date
01/28/2018 - 12:13
Last modified
10/18/2018 - 17:38
Download Page
SuRVoS
Documentation Link
SuRVoS docs
Reference Publication Link
SuRVoS: Super-Region Volume Segmentation workbench
Usage Example Link
Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-re…
Backlinks