Table 2 Performance indices of the proposed system and baseline methods.
From: Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning
Value (95% CI) | The proposed system | Using ImageNet pre-trained model | Using multi-class MIL-trained model | CLAM |
|---|---|---|---|---|
Accuracy (%) | 77.5 (72.3–82.7) | 72.6 (67.2–78.1) | 75.6 (70.3–80.9) | 67.3 (61.6–73.0) |
κ | 0.650 (0.570–0.730) | 0.559 (0.471–0.647) | 0.622 (0.540–0.703) | 0.469 (0.376–0.562) |
κquad | 0.897 (0.815–0.979) | 0.845 (0.746–0.945) | 0.901 (0.819–0.982) | 0.779 (0.658–0.900) |
