Deep learning corrosion detection with confidence
Crossref DOI link: https://doi.org/10.1038/s41529-022-00232-6
Published Online: 2022-03-31
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nash, Will http://orcid.org/0000-0001-5809-6808
Zheng, Liang
Birbilis, Nick
Text and Data Mining valid from 2022-03-31
Version of Record valid from 2022-03-31
Article History
Received: 17 September 2021
Accepted: 16 February 2022
First Online: 31 March 2022
Competing interests
: The authors declare no competing interests.