SuperDSM

Type
Collection
Author
Kostrykin Leonid orcid.org/0000-0003-1323-3762
Requires
Python
Execution Platform
Linux
Unsure
Implementation Type
library
standalone
web
Programming Language
Python
Supported image dimension
2D
Interaction Level
Automated
License/Openness
Free and open source
License
MIT
Description

SuperDSM is a globally optimal segmentation method based on superadditivity and deformable shape models for cell nuclei in fluorescence microscopy images and beyond.

has function
Cell segmentation
Model-based segmentation
has topic
Bioimage informatics
Post date
11/02/2023 - 18:09
Last modified
11/02/2023 - 18:13
Download Page
https://github.com/BMCV/SuperDSM
Documentation Link
https://superdsm.readthedocs.io
Reference Publication Link
https://ieeexplore.ieee.org/document/9804854
Usage Example Link
https://github.com/BMCV/SuperDSM/blob/master/examples/README.md
Backlinks