#PlantSeg
As we show in the paper, this strategy can be seamlessly used with other state-of-the-art instance segmentation networks (#StarDist, #Cellpose, #PlantSeg) and the results are equally of high quality. We opted for our own stable light-weight nets:
link.springer.com
link.springer.com
link.springer.com
May 7, 2026 at 9:40 AM
One more result of a great interdisciplinary collaboration. Segmentation of 3D nuclei has been a challenge, but with the Go-Nuclear models of Stardist and PlantSeg, it is now possible to reliably segment nuclei from 3D digital images.
github.com/kreshuklab/g...
bit.ly/3zLS3ZO

#plantscience
GitHub - kreshuklab/go-nuclear: Guides and code for 3D nuclear instance segmentation
Guides and code for 3D nuclear instance segmentation - kreshuklab/go-nuclear
github.com
July 22, 2024 at 1:22 PM
Tianqi Wei, Zhi Chen, Xin Yu, Scott Chapman, Paul Melloy, Zi Huang
PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
https://arxiv.org/abs/2409.04038
September 9, 2024 at 7:01 AM