Artificial intelligence-assisted identification and quantification of osteoclasts

Quantification of osteoclasts to assess bone resorption is a time-consuming and tedious process. Since the inception of bone histomorphometry and manual counting of osteoclasts using bright-field microscopy, several approaches have been proposed to accelerate the counting process using both free and...

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Detalles Bibliográficos
Autores principales: Emmanuel, Thomas, Brüel, Annemarie, Thomsen, Jesper Skovhus, Steiniche, Torben, Brent, Mikkel Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374260/
https://www.ncbi.nlm.nih.gov/pubmed/34434793
http://dx.doi.org/10.1016/j.mex.2021.101272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374260/
https://www.ncbi.nlm.nih.gov/pubmed/34434793
http://dx.doi.org/10.1016/j.mex.2021.101272

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