An end-to-end computer vision methodology for quantitative metallography.

Rusanovsky M, Beeri O, Oren G

Open source

DOI
10.1038/s41598-022-08651-w
Published
2022 Mar 21
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-022-08651-w,
  title = {An end-to-end computer vision methodology for quantitative metallography.},
  author = {Rusanovsky M and Beeri O and Oren G},
  year = {2022},
  journal = {Scientific reports},
  doi = {10.1038/s41598-022-08651-w},
  url = {https://doi.org/10.1038/s41598-022-08651-w}
}

RIS

TY  - JOUR
TI  - An end-to-end computer vision methodology for quantitative metallography.
AU  - Rusanovsky M
AU  - Beeri O
AU  - Oren G
PY  - 2022
JO  - Scientific reports
DO  - 10.1038/s41598-022-08651-w
UR  - https://doi.org/10.1038/s41598-022-08651-w
ER  -

APA

M, R., O, B., & G, O. (2022). An end-to-end computer vision methodology for quantitative metallography.. Scientific reports. https://doi.org/10.1038/s41598-022-08651-w

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