Computational pathology for musculoskeletal conditions using machine learning: advances, trends, and challenges

Histopathology is widely used to analyze clinical biopsy specimens and tissues from pre-clinical models of a variety of musculoskeletal conditions. Histological assessment relies on scoring systems that require expertise, time, and resources, which can lead to an analysis bottleneck. Recent advancem...

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Detalles Bibliográficos
Autores principales: Konnaris, Maxwell A., Brendel, Matthew, Fontana, Mark Alan, Otero, Miguel, Ivashkiv, Lionel B., Wang, Fei, Bell, Richard D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915507/
https://www.ncbi.nlm.nih.gov/pubmed/35277196
http://dx.doi.org/10.1186/s13075-021-02716-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915507/
https://www.ncbi.nlm.nih.gov/pubmed/35277196
http://dx.doi.org/10.1186/s13075-021-02716-3

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