Our framework achieved encouraging diagnostic performance (AUC = 0.91) and showed a trend toward improved grading accuracy (AUC = 0.95) using radiographs alone, representing a meaningful step forward toward non-invasive tumor assessment.
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Multimodal contrastive learning for non-invasive chondroid bone tumor classification and grading using radiographs.
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