DinoBloom: A Large-Scale Self-Supervised Model for Generalizable Cell Embeddings in Hematology

DinoBloom is the first large-scale self-supervised model designed for single-cell hematology image analysis, capable of extracting rich visual features that enable effective cell-type classification and leukemia subtyping across diverse datasets.