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...

Descripció completa

Dades bibliogràfiques

Autors principals:	Peiying Hua, Jessica M. Sin, Eric R. Henderson, Jason Ha, Darcy A. Kerr, Saeed Hassanpour
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2026-02-01
Col·lecció:	BMC Medical Imaging
Matèries:	Chondroid bone tumor Computer-aided diagnosis Contrastive learning Medical imaging Multimodal AI
Accés en línia:	https://doi.org/10.1186/s12880-026-02239-w
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!