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bioRxiv · 10.1101/2024.04.06.587952

Transformers do not outperform Cellpose

Stringer, C.·Pachitariu, M.
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Abstract

In a recent publication, Ma et al [1] claim that a transformer-based cellular segmentation method called Mediar [2] -- which won a Neurips challenge -- outperforms Cellpose [3] (0.897 vs 0.543 median F1 score). Here we show that this result was obtained by disadvantaging Cellpose in multiple ways. When we removed these impairments, Cellpose outperformed Mediar (0.861 vs 0.826 median F1 score on the updated test set). To further investigate the performance of transformers for cellular segmentation, we replaced the Cellpose backbone with a transformer. The transformer-Cellpose model also did not outperform the standard Cellpose (0.848 median F1 test score). Our results suggest that transformers do not advance the state-of-the-art in cellular segmentation.

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Stringer, C., Pachitariu, M.. 2024-04-07. Transformers do not outperform Cellpose. https://doi.org/10.1101/2024.04.06.587952

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