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

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 potenti...

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Bibliographic Details
Main Authors: Jorge Álvarez Troncoso, Elena Ruiz-Bravo, Clara Soto Abánades, Alexandre Dumusc, Álvaro López-Janeiro, Thomas Hügle
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Rheumatology
Subjects:
Artificial intelligence
Salivary gland biopsy
Sjögren
Sicca
Online Access:https://doi.org/10.1186/s41927-024-00417-3
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https://doi.org/10.1186/s41927-024-00417-3

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