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A quantified study of segmentation techniques on synthetic geological XRM and FIB-SEM images,

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Correction Crossref 1 open · 1 total · 0 disputed

DOI: 10.1007/s10596-018-9768-y
Notice DOI: 10.1007/s10596-018-9780-2
Event date: 2018-09-21
Machine twin: JSON

01One-hop citing occurrences

Correction Open

Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels

ref [44] · 2508.16224 · notice #8543 · dispute

Raw extraction · bibliography line

M. Andrew, “A quantified study of segmentation techniques on synthetic geological XRM and FIB-SEM images,” Computational Geosciences, vol. 22, no. 6, pp. 1503–1512, Dec. 2018. [Online]. Available: http://link.springer.com/10.1007/s10596-018-9768-y

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