UNET-based CE and the user's manual

Datacite citation style:
Zeng, Ling; Jing, Linhai; Chen, Lei; Jun Feng (2021): UNET-based CE and the user's manual. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/16571061.v1
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
UNET-based CE is developed to segment crystals from large -area images using U-Net technique (a fully convolutional network). It can extract crystals in a superbly quick and highly efficient manner (e.g., about 2 mins for 600~700 crystals)
history
  • 2021-09-07 first online, published, posted
publisher
4TU.ResearchData
funding
  • National Science Foundation of China (No. 42002294)
  • Mechanism and Geological Significance of Cambrian Microbial Dolomite in the Western Luxi Block (grant code 41972108) [more info...] National Natural Science Foundation of China
  • Sichuan Science and Technology Program (No. 2021YJ0351)
organizations
Chengdu Technological University

DATA - not available

Data is undisclosed.

DATA