Rheumatoid Arthritis Synovial Inflammation Quantification Using Computer Vision

OBJECTIVE: We quantified inflammatory burden in rheumatoid arthritis (RA) synovial tissue by using computer vision to automate the process of counting individual nuclei in hematoxylin and eosin images. METHODS: We adapted and applied computer vision algorithms to quantify nuclei density (count of nu...

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Detalles Bibliográficos
Autores principales: Guan, Steven, Mehta, Bella, Slater, David, Thompson, James R., DiCarlo, Edward, Pannellini, Tania, Pearce‐Fisher, Diyu, Zhang, Fan, Raychaudhuri, Soumya, Hale, Caryn, Jiang, Caroline S., Goodman, Susan, Orange, Dana E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992472/
https://www.ncbi.nlm.nih.gov/pubmed/35014221
http://dx.doi.org/10.1002/acr2.11381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992472/
https://www.ncbi.nlm.nih.gov/pubmed/35014221
http://dx.doi.org/10.1002/acr2.11381

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