A novel iterative algorithm to improve segmentations with deep convolutional neural networks trained with synthetic X-ray computed tomography data (i.S.Sy.Da.T.A)-Reference-Cited by-同舟云学术

A novel iterative algorithm to improve segmentations with deep convolutional neural networks trained with synthetic X-ray computed tomography data (i.S.Sy.Da.T.A)

Published:2023-04 Issue: Volume:223 Page:112112
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Tsamos A.^ORCID,Evsevleev S.,Fioresi R.^ORCID,Faglioni F.^ORCID,Bruno G.^ORCID

Funder

BAM Federal Institute for Materials Research and Testing

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference21 articles.

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