Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of Steels

Crystalline materials exhibit long-range ordered lattice unit, within which resides nonperiodic structural features called defects. These crystallographic defects play a vital role in determining the physical and mechanical properties of a wide range of material systems. While computer vision has de...

Descripción completa

Detalles Bibliográficos
Autores principales: Roberts, Graham, Haile, Simon Y., Sainju, Rajat, Edwards, Danny J., Hutchinson, Brian, Zhu, Yuanyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6726638/
https://www.ncbi.nlm.nih.gov/pubmed/31484940
http://dx.doi.org/10.1038/s41598-019-49105-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6726638/
https://www.ncbi.nlm.nih.gov/pubmed/31484940
http://dx.doi.org/10.1038/s41598-019-49105-0

Ejemplares similares