1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)
1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)


Table 2: 
Comparison of StackGen-Net with other WMH detection techniques
Test Cohort 1Test Cohort 2
UNET2DDeepMedicUNET2D WS-EStackGen-NetUNET2DDeepMedicUNET2D WS-EStackGen-Net
Dice (F1-P)0.43
[SD, 0.17]		0.62
[SD, 0.09]		0.67
[SD, 0.09]		0.76
[SD, 0.07]		0.27
[SD, 0.20]		0.58
[SD, 0.15]		0.66
[SD, 0.17]		0.76
[SD, 0.09]
Precision-P0.72
[SD, 0.19]		0.63
[SD, 0.13]		0.72
[SD, 0.15]		0.73
[SD, 0.11]		0.73
[SD, 0.32]		0.66
[SD, 0.22]		0.69
[SD, 0.23]		0.77
[SD, 0.11]
Recall-P0.32
[SD, 0.19]		0.63
[SD, 0.18]		0.64
[SD, 0.07]		0.79
[SD,  0.1]		0.18
[SD, 0.16]		0.53
[SD, 0.13]		0.67
[SD, 0.12]		0.75
[SD, 0.09]
Precision-L0.60
[SD, 0.20]		0.47
[SD, 0.23]		0.69
[SD, 0.18]		0.75
[SD, 0.11]		0.72
[SD, 0.24]		0.43
[SD, 0.23]		0.60
[SD, 0.23]		0.84
[SD, 0.14]
Recall-L0.37
[SD, 0.09]		0.86
[SD, 0.09]		0.79
[SD, 0.15]		0.87
[SD, 0.08]		0.26
[SD, 0.14]		0.71
[SD, 0.10]		0.74
[SD, 0.13]		0.67
[SD, 0.13]
F1-L0.44
[SD, 0.10]		0.54
[SD, 0.11]		0.71
[SD, 0.09]		0.80
[SD, 0.09]		0.37
[SD, 0.16]		0.50
[SD, 0.20]		0.63
[SD, 0.15]		0.73
[SD, 0.11]
|VD|(%)54.4
[SD, 22.1]		26.9
[SD, 20.0]		17.6
[SD, 11.2]		12.3
[SD, 12.7]		77.4
[SD, 16.5]		30.6
[SD, 18.6]		37.6
[SD, 51.5]		13.7
[SD, 9.7]
HD9519.5
[SD, 8.6]		15.9
[SD, 16.1]		10.8
[SD, 6.7]		5.27
[SD, 3.15]		30.6
[SD, 20.9]		21.8
[SD, 22.9]		19.5
[SD, 18.8]		17.1
[SD, 21.0]
AUC0.53
[SD, 0.21]		0.66
[SD, 0.12]		0.61
[SD, 0.11]		0.84
[SD, 0.07]		0.54
[SD, 0.28]		0.60
[SD, 0.20]		0.60
[SD, 0.20]		0.84
[SD, 0.10]
  • Note:—HD95 indicates modified Hausdorff distance (mm); P, pixel; L, lesion; |VD| = absolute volume difference.