Table 1.

Parameters used for training, validation, and experimental datasets. Formats of “$[x,y]n$”, signify $n$ elements in the range of $[x,y]$.

	${\mu }_s^{\prime }$ (${\mathrm{mm}}^{-1}$)	$\gamma$	$g_1$	${\mu }_a$ (${\mathrm{mm}}^{-1}$)	# of samples
Training	[0.5, 6.0] 25	[0.95, 2.20] 18	[0.10, 0.9] 4	[0.001, 0.50] 15	14625
Validation	[1.0, 5.5] 10	[0.96, 2.19] 5	[0.10, 0.9] 4	[0.084, 0.50] 6	330
Experimental	[1.1, 3.6] 15	[0.97, 2.17] 9	[0.07, 0.93] 8	0.001	15