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Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy.

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Summary

This study introduces a novel method for segmenting and tracking touching cells in microscopy images, improving accuracy even with low signal-to-noise ratios. The approach enhances cell tracking by incorporating movement estimation, achieving top rankings in a challenge.

Failed At:

2026-07-14T07:27:09.141226+00:00

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