FCIS recasts cell instance segmentation as four-class semantic segmentation by four-coloring cell adjacency graphs, and reports top accuracy on DSB2018, PanNuke, BBBC006v1, and YeaZ.
Transunet: Rethinking the u-net architecture design for medical image segmentation through the lens of transformers
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The Four Color Theorem for Cell Instance Segmentation
FCIS recasts cell instance segmentation as four-class semantic segmentation by four-coloring cell adjacency graphs, and reports top accuracy on DSB2018, PanNuke, BBBC006v1, and YeaZ.