Toward robust and high-throughput detection of seed defects in X-ray images via deep learning
Crossref DOI link: https://doi.org/10.1186/s13007-024-01195-2
Published Online: 2024-05-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hamdy, Sherif
Charrier, Aurélie
Corre, Laurence Le
Rasti, Pejman
Rousseau, David
Text and Data Mining valid from 2024-05-06
Version of Record valid from 2024-05-06
Article History
Received: 11 December 2023
Accepted: 26 April 2024
First Online: 6 May 2024
Declarations
:
: The authors declare that they have no Competing interest.