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 nucl...

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Detalles Bibliográficos

Principais autores:	Steven Guan, Bella Mehta, David Slater, James R. Thompson, Edward DiCarlo, Tania Pannellini, Diyu Pearce‐Fisher, Fan Zhang, Soumya Raychaudhuri, Caryn Hale, Caroline S. Jiang, Susan Goodman, Dana E. Orange
Formato:	Artigo
Idioma:	Inglês
Publicado:	Wiley 2022-04-01
Series:	ACR Open Rheumatology
Acceso en liña:	https://doi.org/10.1002/acr2.11381
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