UNetGE software and it User Manual

doi: 10.4121/16571061.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/16571061
Datacite citation style:
Zeng, Ling; Chen, Lei; Li, Tianbing; Wang, Xiekang (2022): UNetGE software and it User Manual. Version 2. 4TU.ResearchData. software. https://doi.org/10.4121/16571061.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
choose version:
version 2 - 2022-01-17 (latest)
version 1 - 2021-09-07
UNetGE is developed to segment grains from large -area images using U-Net technique (a fully convolutional network). It can extract grains in a superbly quick and highly efficient manner (e.g., about 2 mins for 600~700 crystals)
history
  • 2021-09-07 first online
  • 2022-01-17 published, posted
publisher
4TU.ResearchData
funding
  • National Science Foundation of China (No. 42002294)
organizations
Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology

DATA

files (1)