AI RESEARCH
Momentum Memory for Knowledge Distillation in Computational Pathology
arXiv CS.CV
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ArXi:2602.21395v3 Announce Type: replace Multimodal learning that integrates genomics and histopathology has shown strong potential in cancer diagnosis, yet its clinical translation is hindered by the limited availability of paired histology-genomics data. Knowledge distillation (KD) offers a practical solution by transferring genomic supervision into histopathology models, enabling accurate inference using histology alone.