Table 10 Comparison of backbones and strategies for model selection with early stop mechanisms on the testing sets in (a) the classification of aggressive and non-aggressive EC, (b) TMB prediction for the aggressive EC, and (c) TMB prediction for the non-aggressive EC

Task	Metric	Backbone	Acc.	Sens.	Spec.	MeanSS	AUROC
(a) Classification of aggressive and non-aggressive EC	Cross-Entropy	ResNet50 Truncated	0.85	0.81	0.90	0.86	0.89
		ResNet101 Truncated	0.87	0.92	0.80	0.86	0.92
		ResNet152 Truncated	0.86	0.81	0.91	0.86	0.91
	MeanSS	ResNet50 Truncated	0.87	0.90	0.83	0.86	0.91
		ResNet101 Truncated	0.89	0.91	0.90	0.88	0.91
		ResNet152 Truncated	0.87	0.87	0.87	0.87	0.91
	F1-score	ResNet50 Truncated	0.89	0.93	0.84	0.89	0.97
		ResNet101 Truncated	0.84	0.80	0.89	0.84	0.86
		ResNet152 Truncated	0.86	0.83	0.90	0.87	0.93
(b) TMB prediction for aggressive ECs	Cross-Entropy	ResNet50 Truncated	0.67	0.78	0.61	0.69	0.69
		ResNet101 Truncated	0.71	0.75	0.68	0.71	0.78
		ResNet152 Truncated	0.73	0.72	0.73	0.73	0.78
	MeanSS	ResNet50 Truncated	0.66	0.67	0.66	0.66	0.67
		ResNet101 Truncated	0.71	0.75	0.68	0.71	0.78
		ResNet152 Truncated	0.66	0.86	0.54	0.70	0.73
	F1-score	ResNet50 Truncated	0.64	0.75	0.57	0.66	0.74
		ResNet101 Truncated	0.70	0.71	0.70	0.70	0.70
		ResNet152 Truncated	0.66	0.85	0.55	0.70	0.80
(c) TMB prediction for non-aggressive ECs	Cross-Entropy	ResNet50 Truncated	0.61	0.32	0.76	0.54	0.49
		ResNet101 Truncated	0.67	0.09	0.98	0.53	0.58
		ResNet152 Truncated	0.67	0.10	0.95	0.52	0.57
	MeanSS	ResNet50 Truncated	0.64	0.57	0.67	0.62	0.66
		ResNet101 Truncated	0.72	0.33	0.91	0.62	0.66
		ResNet152 Truncated	0.66	0.46	0.76	0.61	0.62
	F1-score	ResNet50 Truncated	0.64	0.57	0.67	0.62	0.69
		ResNet101 Truncated	0.69	0.38	0.84	0.61	0.65
		ResNet152 Truncated	0.66	0.76	0.61	0.68	0.70

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