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Machine learning vs. radiomics for discriminating atypical cartilaginous tumors from benign enchondromas on MRI

Abstract Background Enchondromas (EC) present cartilaginous tumors that are difficult to differentiate from their intermediate counterpart, atypical cartilaginous tumors (ACT). Histologically, tumor distinction of these entities is limited by sampling bias, while radiologically, similar lesion featu...

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Principais autores: Simon Johannes Joham, Johannes Nikolaus Woltsche, Dieter Szolar, Andreas Leithner, Martin Urschler, Maria Anna Smolle
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2026-03-01
Serier:BioMedical Engineering OnLine
Fag:
Enchondroma
Atypical cartilaginous tumors
Magnetic resonance imaging
Artificial intelligence
Segmentation
Radiomics
Online adgang:https://doi.org/10.1186/s12938-026-01547-0
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