Chemical crystal identification with deep learning machine vision

OBJECTIVE: This study was carried out with the purpose of testing the ability of deep learning machine vision to identify microscopic objects and geometries found in chemical crystal structures. RESULTS: A database of 6994 images taken with a light microscope showing microscopic crystal details of s...

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Detalles Bibliográficos
Autores principales: Mungofa, Perseverança, Schumann, Arnold, Waldo, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173923/
https://www.ncbi.nlm.nih.gov/pubmed/30290837
http://dx.doi.org/10.1186/s13104-018-3813-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173923/
https://www.ncbi.nlm.nih.gov/pubmed/30290837
http://dx.doi.org/10.1186/s13104-018-3813-8

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