DL4MicEverywhere / embedseg-2d-zerocostdl4mic / 1.15.0

embedseg-2d-zerocostdl4mic implementation.

Instance segmentation of 2D images. EmbedSeg 2D is a deep-learning method that can be used to segment object from bioimages and was first published by Lalit et al. in 2021, on arXiv.
Tags
AMD64colabnotebookdenoisingZeroCostDL4Mic
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
Manan Lalit, Pavel Tomancak, Florian Jug. Embedding-based Instance Segmentation in Microscopy. arXiv:2101.10033.https://arxiv.org/abs/2101.10033
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.