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Table 2 Comparison of nuclear segmentation between different fusion models and a previously published method

From: Fusion of encoder-decoder deep networks improves delineation of multiple nuclear phenotypes

Input size

Recall

Precision

F1-Score

Standard Error

Fused-ENet

0.94

0.88

0.91

1.1124e-06

Fused 3-module encoder, 3-module decoder

0.79

0.88

0.82

1.6170e-06

Multi-reference Graphcut (MRG)

0.75

0.85

0.79

unknown

  1. MRG was shown to out-perform other methods that include random forest
  2. The italic items illustrate the best results