TABLE II.

Results table, performance of the different networks that have been tested for this study, divided into two main sections. The left-hand side, labeled “Regression Networks”, contains the results of the reference methods. The right-hand side, entitled “Regression and Localization Networks”, displays the results of the proposed simultaneous biomarker regression and localization. Each row represents one of the proposed problems (PMA, SFA or CAC). Each column is the performance of the chosen network on the problems. ρ and ICC are reported for all networks. For PMA and SFA we also report the dice coefficient d and the average Hausdorff distance dH, since reference segmentation masks for the test set are available. For the problem of CAC, we also report the weighted kappa coefficient k and the accuracy for the different risk groups.

	Encoder Regression Networks				Regression and Localization Networks
	Baseline	Enc(U-Net)	Enc(SE-Net)	Enc(SD-Net)	RL-U-Net	RL-SE-Net	RL-SD-Net
PMA	ρ = 0.951 ICC = 0.950	ρ = 0.970 ICC = 0.969	ρ = 0.971 ICC = 0.967	ρ = 0.965 ICC = 0.963	ρ = 0.977 ICC = 0.976 d = 0.853 dH = 6.422	ρ = 0.978 ICC = 0.977 d = 0.875 dH = 7.049	ρ = 0.971 ICC = 0.970 d = 0.816 dH = 6.893
SFA	ρ = 0.971 ICC = 0.970	ρ = 0.982 ICC = 0.981	ρ = 0.982 ICC = 0.982	ρ = 0.981 ICC = 0.980	ρ = 0.998 ICC = 0.998 d = 0.914 dH = 5.857	ρ = 0.997 ICC = 0.997 d = 0.908 dH = 6.016	ρ = 0.996 ICC = 0.996 d = 0.817 dH = 7.147
CAC	ρ = 0.920 ICC = 0.919 κ = 0.761 acc = 0.780	ρ = 0.936 ICC = 0.926 κ = 0.727 acc = 0.726	ρ = 0.931 ICC = 0.931 κ = 0.753 acc = 0.750		ρ = 0.948 ICC = 0.946 κ = 0.853 acc = 0.885	ρ = 0.950 ICC = 0.950 κ = 0.852 acc = 0.842