Extended Data Fig. 2: Effect of network architecture and training set exclusions. | Nature Methods

Extended Data Fig. 2: Effect of network architecture and training set exclusions.

From: Cellpose: a generalist algorithm for cellular segmentation

Extended Data Fig. 2

a-d, Each analysis compares average precision relative to the standard 4-network average, full Cellpose architecture. The following changes were made: a, removed the style vectors; b, replaced residual blocks with standard convolutional layers; c, Replaced addition with concatenation on the upsampling pass; d, standard Unet architecture (in other words a, b and c combined). e, Performance on generalized data for the ‘generalist’ Cellpose model, and a version of the model trained without the ‘specialized’ data.

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