Pre-screening of endomysial microvessel density by fast random forest image processing machine learning algorithm accelerates recognition of a modified vascular network in idiopathic inflammatory myopathies

Pre-screening of endomysial microvessel density by fast random forest image processing machine learning algorithm accelerates recognition of a modified vascular network in idiopathic inflammatory myopathies

Abstract Biomarkers for discrimination among different subgroups of idiopathic inflammatory myopathies (IIM) are difficult to identify and may involve multiple laboratory tests and time-consuming procedures. We assessed the potential for artificial intelligence (AI) to extract features such as densi...

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Bibliographic Details
Main Authors: Alessandro Massaro, Gerardo Cazzato, Giuseppe Ingravallo, Nadia Casatta, Carmelo Lupo, Angelo Vacca, Florenzo Iannone, Francesco Girolamo
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Diagnostic Pathology
Subjects:
FRF image processing
Myositis
Neovascularization
Necrotizing myopathy, CD31
Online Access:https://doi.org/10.1186/s13000-025-01608-3
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