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 1:

Evaluation of MRes-UNET2D and UNET2D on test cohort 1 (n = 18)a

MRes-UNET2DUNET2D
WL = 50 WW = 200WL = 0 WW = 200Common Grid ResamplingWL = 50 WW = 200
Dice0.95 (0.02)0.95 (0.02)0.94 (0.03)0.95 (0.02)
Precision (%)96 (3)96 (3)96 (3)95 (3)
Recall (%)95 (5)95 (5)93 (6)95 (4)
95% HD (mm)1.5 (1.3)1.6 (1.2)1.6 (1.4)1.7 (1.2)
AVD (%)5.3 (5.4)5.5 (5.1)6.8 (6.0)5.8 (4.7)
  • a Values in the table are mean (standard deviation).