DL4MicEverywhere / stardist-3d-zerocostdl4mic / 1.15.3

stardist-3d-zerocostdl4mic implementation.

3D instance segmentation of oval objects (ie nuclei). StarDist is a deep-learning method that can be used to segment cell nuclei in 3D (xyz) images. Note - visit the ZeroCostDL4Mic wiki to check the original publications this network is based on and make sure you cite these.

Tags

AMD64colabnotebookdenoisingZeroCostDL4Mic2D

Citation

https://doi.org/10.1038/s41467-021-22518-0von Chamier, L., Laine, R.F., Jukkala, J. et al. Democratising deep learning for microscopy with ZeroCostDL4Mic. Nat Commun 12, 2276 (2021). https://doi.org/10.1038/s41467-021-22518-0

Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers. Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. arXiv. https://arxiv.org/abs/1908.03636https://arxiv.org/abs/1908.03636

Solution written by

DL4MicEverywhere team

album team

Arguments

--path

What is your working path? (default value: .)

Usage instructions

Please follow this link for details on how to install and run this solution.