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Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy

Fig 5

Evaluation of Cell-DINO in the HPA Kaggle competitions.

Left: whole image protein classification competition [24]. Right: weakly-supervised, single-cell protein classification competition [25]. Both plots: distribution of performance scores in the second stage evaluation of valid competition submissions. The horizontal axis is the official competition score (F1-score on the test set), and the vertical axis is the frequency of submissions obtaining the corresponding score. The dotted line is the cumulative distribution. Vertical lines represent models evaluated in this work as follows: ImageNet pre-trained DINO (red), a single supervised CNN from the top competitors (green), Cell-DINO (blue).

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1013828.g005