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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| 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 |