Deep Learning Methods for Microstructural Image Analysis: The State-of-the-Art and Future Perspectives
Crossref DOI link: https://doi.org/10.1007/s40192-024-00369-z
Published Online: 2024-07-15
Published Print: 2024-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Alrfou, Khaled https://orcid.org/0000-0003-0237-8296
Zhao, Tian
Kordijazi, Amir
Text and Data Mining valid from 2024-07-15
Version of Record valid from 2024-07-15
Article History
Received: 4 May 2024
Accepted: 21 June 2024
First Online: 15 July 2024
Declarations
:
: The authors declare that they have no conflict of interest.