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

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Title: Multimodal contrastive learning for non-invasive chondroid bone tumor classification and grading using radiographs.
Authors: Hua P; Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, 03755, USA., Sin JM; Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA., Henderson ER; Department of Orthopaedics, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA., Ha J; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA., Kerr DA; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA., Hassanpour S; Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, 03755, USA. Saeed.Hassanpour@Dartmouth.edu.; Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, 03755, USA. Saeed.Hassanpour@Dartmouth.edu.; Department of Computer Science, Dartmouth College, Hanover, NH, 03755, USA. Saeed.Hassanpour@Dartmouth.edu.
Source: BMC medical imaging [BMC Med Imaging] 2026 Feb 20; Vol. 26 (1). Date of Electronic Publication: 2026 Feb 20.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2342
DOI:10.1186/s12880-026-02239-w