Classification of salivary gland biopsies in Sjögren’s syndrome by a convolutional neural network using an auto-machine learning platform

Abstract Background The histopathological analysis of minor salivary gland biopsies, particularly through the quantification of the Focus Score (FS), is pivotal in the diagnostic workflow for Sjögren's Syndrome (SS). AI-based image recognition using deep learning models has demonstrated potential in...

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Principais autores:	Jorge Álvarez Troncoso, Elena Ruiz-Bravo, Clara Soto Abánades, Alexandre Dumusc, Álvaro López-Janeiro, Thomas Hügle
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2024-11-01
Series:	BMC Rheumatology
Assuntos:	Artificial intelligence Salivary gland biopsy Sjögren Sicca
Acceso en liña:	https://doi.org/10.1186/s41927-024-00417-3
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