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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主要な著者:	Jorge Álvarez Troncoso, Elena Ruiz-Bravo, Clara Soto Abánades, Alexandre Dumusc, Álvaro López-Janeiro, Thomas Hügle
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2024-11-01
シリーズ:	BMC Rheumatology
主題:	Artificial intelligence Salivary gland biopsy Sjögren Sicca
オンライン･アクセス:	https://doi.org/10.1186/s41927-024-00417-3
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