Multimodal contrastive learning for non-invasive chondroid bone tumor classification and grading using radiographs

Abstract Objective Diagnosing and grading chondroid bone tumors with radiography is difficult due to overlapping features with benign conditions such as avascular necrosis and fibrous dysplasia. Histology remains the gold standard, but it is invasive, costly, and not always accessible. This pilot st...

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Principais autores:	Peiying Hua, Jessica M. Sin, Eric R. Henderson, Jason Ha, Darcy A. Kerr, Saeed Hassanpour
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	BMC 2026-02-01
סדרה:	BMC Medical Imaging
נושאים:	Chondroid bone tumor Computer-aided diagnosis Contrastive learning Medical imaging Multimodal AI
גישה מקוונת:	https://doi.org/10.1186/s12880-026-02239-w
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