Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy
Table 2
Comparison to other state-of-the-art pre-trained models.
Top and middle: F1-scores obtained in the HPA-FoV and HPA-SC datasets, respectively, on the protein localization (PL) classification and cell line (CL) prediction tasks. Bottom: Results using Cell Painting images on the LINCS mechanism-of-action prediction task (MoA AUPRC) [62].