Table 1 Pairwise Lin’s concordance/Pearson correlation coefficients and Mean Absolute Error (Lcc/Pcc/MAE) between every visual TPS and the automated TPS estimation based on AC-GAN.

From: Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies

 

TPS 1

TPS 2

TPS 3

TPS cnm

Lcc

Pcc

MAE

Lcc

Pcc

MAE

Lcc

Pcc

MAE

Lcc

Pcc

MAE

TPS 1

—

—

—

0.84*

0.90*

15.3

0.81

0.82

13.2

0.95*

0.95*

7.4*

TPS 2

0.84

0.90

15.3

—

—

—

0.79

0.82

16.6

0.84

0.89

15.0

TPS 3

0.81

0.82

13.2

0.79

0.82

16.6

—

—

—

0.88

0.89

11.3

TPS cnm

0.95*

0.95*

7.4*

0.84*

0.89

15.0*

0.88*

0.89*

11.3*

—

—

—

  1. The star indicates for each concordance measure the TPS yielding the best performance, i.e. the maximum value for Lcc and Pcc and the minimum value for the MAE. Values are computed on the Ntest cases unseen during training or testing of the AC-GAN model.
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