Table 3 Mean and deviation values of the actual output of the second stage model for a set of combination ratios between Gleason patterns 3 and 4.

From: Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning

GP3: GP4

100%: 0%

80%: 20%

60%: 40%

40%: 60%

20%: 80%

0%: 100%

benign

0.00 ± 0.00

0.00 ± 0.00

0.00 ± 0.00

0.00 ± 0.00

0.00 ± 0.00

0.01 ± 0.00

grade group 1

0.30 ± 0.20c,2

0.05 ± 0.10

0.02 ± 0.02

0.01 ± 0.03

0.01 ± 0.01

0.00 ± 0.01

grade group 2

0.54 ± 0.131

0.55 ± 0.08c,1

0.37 ± 0.21c,2

0.28 ± 0.262

0.20 ± 0.15

0.09 ± 0.14

grade group 3

0.14 ± 0.08

0.33 ± 0.132

0.44 ± 0.071

0.44 ± 0.10c,1

0.40 ± 0.10c,1

0.28 ± 0.15

grade group 4

0.02 ± 0.01

0.06 ± 0.05

0.14 ± 0.12

0.19 ± 0.13

0.25 ± 0.132

0.33 ± 0.09c,1

grade group 5

0.00 ± 0.00

0.01 ± 0.01

0.04 ± 0.07

0.07 ± 0.08

0.11 ± 0.14

0.29 ± 0.212

  1. For each combination ratio, superscript c indicate the accurate category, while the category with the maximum mean value is with superscript 1, and the second maximum is with superscript 2.