Comparison of the Capacity of Several Machine Learning Tools to Assist Immunofluorescence-Based Detection of Anti-Neutrophil Cytoplasmic Antibodies

Comparison of the Capacity of Several Machine Learning Tools to Assist Immunofluorescence-Based Detection of Anti-Neutrophil Cytoplasmic Antibodies

The success of artificial intelligence and machine learning is an incentive to develop new algorithms to increase the rapidity and reliability of medical diagnosis. Here we compared different strategies aimed at processing microscope images used to detect anti-neutrophil cytoplasmic antibodies, an i...

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Bibliographic Details
Main Authors: Daniel Bertin, Pierre Bongrand, Nathalie Bardin
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:International Journal of Molecular Sciences
Subjects:
artificial intelligence
ANCA
immunofluorescence
vasculitis
image analysis
myeloperoxdase
Online Access:https://www.mdpi.com/1422-0067/25/6/3270

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https://www.mdpi.com/1422-0067/25/6/3270

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