Table 2.

Results of quantitative evaluation of features robustness of our SRHP algorithm against comparative methods at the slide-level in terms of AUC, Accuracy, Recall, Precision, Specificity, and F1 score. The results are averaged across 20 slides, which includes both G₃ and G₄ regions on the same slide. We also report standard deviations in performance metrics across slides (The best results are indicated in bold).

Slide-level	AUC	Accuracy	Recall	Precision	Specificity	F1 Score
DLGg	0.93 ± 0.13	89.35% ± 0.14	0.80 ± 0.25	0.82 ± 0.20	0.91 ± 0.13	0.78 ± 0.21
SSAE	0.62 ± 0.18	71.31% ± 0.12	0.42 ± 0.30	0.48 ± 0.36	0.73 ± 0.21	0.53 ± 0.25
MATF	0.94 ± 0.01	86.45% ± 0.02	0.84 ± 0.03	0.87 ± 0.05	0.89 ± 0.03	0.85 ± 0.03
SRHP	0.99 ± 0.01	98.75% ± 0.01	0.97 ± 0.03	0.93 ± 0.12	0.98 ± 0.02	0.95 ± 0.09