CatalogAbout
DL4MicEverywhere Album solutions
Cutting-edge deep learning techniques for bioimage analysis
DL4MicEverywhere / splinedist-2d-zerocostdl4mic / 1.14.1

splinedist-2d-zerocostdl4mic implementation.

Instance segmentation of 2D images. SplineDist is a neural network inspired by StarDist, capable of performing image instance segmentation. Unlike StarDist, SplineDist uses cubic splines to describe the contour of each object and therefore can potentially segment objects of any shapes. This version is only for 2D dataset. Note - visit the ZeroCostDL4Mic wiki to check the original publications this network is based on and make sure you cite these.
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
https://doi.org/10.1101/2020.10.27.357640Soham Mandal, Virginie Uhlmann. SplineDist: Automated Cell Segmentation With Spline Curves. bioRxiv 2020.10.27.357640; doi: https://doi.org/10.1101/2020.10.27.357640
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.