StarDist Models for "Hydrodynamics in a bubble column – Part 1: Two-phase flow"

DOI

This package contains the software and the trained models described in the publication "Hydrodynamics in a bubble column – Part 1: Two-phase flow". Please refer to the readme.md for installation instructions and to the Prediction_demo.ipynb for usage demonstration.

This project has received funding from the European Union's Horizon 2020 Marie Skłodowska-Curie Actions (MSCA), Innovative Training Networks (ITN), H2020-MSCA-ITN-2020 under grant agreement No. 955805, and the European Institute of Innovation and Technology (EIT). This body of the European Union receives support from the European Union's Horizon 2020 research and innovation programme.

{"references": ["Hessenkemper, Hendrik, Starke, Sebastian, Atassi, Yazan, Ziegenhein, Thomas, & Lucas, Dirk. (2022, August 5). Software for Bubble identification from images with machine learning methods (Version 1.0). Rodare. http://doi.org/10.14278/rodare.1830", "U. Schmidt, M. Weigert, C. Broaddus and G. Myers, in Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018, Springer, Berlin 2018, 265\u2013273."]}

Identifier
DOI https://doi.org/10.14278/rodare.2174
Related Identifier https://www.hzdr.de/publications/Publ-36730
Related Identifier https://doi.org/10.14278/rodare.2173
Related Identifier https://rodare.hzdr.de/communities/energy
Related Identifier https://rodare.hzdr.de/communities/rodare
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:2174
Provenance
Creator Sommer, Anna-Elisabeth; Draw, Mazen; Wang, Lantian; Schmidtpeter, Jan; Hessenkemper, Hendrik; Gatter, Josefine; Nam, Haein; Eckert, Kerstin; Rzehak, Roland
Publisher Rodare
Publication Year 2023
Rights Creative Commons Attribution 4.0 International; Open Access; https://creativecommons.org/licenses/by/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://rodare.hzdr.de/support
Representation
Language English
Resource Type Software
Version 1.0
Discipline Life Sciences; Natural Sciences; Engineering Sciences