DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

arXiv:2404.05022v1 Announce Type: cross
Abstract: In hematology, computational models offer significant potential to improve diagnostic accuracy, streamline workflows, and reduce the tedious work of analyzing single cells in peripheral blood or bone marrow smears. However, clinical adoption of computational models has been hampered by the lack of generalization due to large batch effects, small dataset sizes, and poor performance in transfer learning from natural images. To address these challenges, we introduce DinoBloom, the first foundation model for single cell images …

abstract accuracy adoption arxiv cells clinical computational cs.cv cs.lg diagnostic embeddings foundation foundation model however reduce type work workflows