Table 3. Summarizing statistics.

Dataset	Mean					Variance					Standard deviation
	ACC	PRE	REC	F1		ACC	PRE	REC	F1		ACC	PRE	REC	F1
SRH	0.8643	0.8542	0.8643	0.8478		0.0086	0.0250	0.0263	0.0221		0.0925	0.1580	0.1622	0.1487
Complex	0.7587	0.7540	0.7583	0.7213		0.0159	0.0463	0.0628	0.0536		0.1261	0.2152	0.2505	0.2315
Histogram matching	0.7273	0.7625	0.7257	0.7203		0.0089	0.0110	0.0534	0.0333		0.0942	0.1046	0.2311	0.1826
Histogram equalization	0.8087	0.8058	0.8082	0.7892		0.0104	0.0248	0.0382	0.0288		0.1021	0.1576	0.1955	0.1696
Blurring	0.8077	0.8070	0.8085	0.8062		0.0022	0.0082	0.0087	0.0077		0.0471	0.0906	0.0934	0.0875
Scaling	0.8453	0.8287	0.8443	0.8327		0.0006	0.0095	0.0028	0.0039		0.0250	0.0975	0.0534	0.0622

For each dataset and performance metric balanced ACC, PRE, REC and F1. The mean, variance and standard deviation is computed across all networks, runs and classes. ACC, accuracy; F1, F1-score; PRE, precision; REC, recall; SRH, stimulated Raman histology.