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
                )

        )

)
1nareshArray
(
    [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: Quantitative evaluation. Analysis of virtual enhancement prediction by using various masks generated by an external model
Mask SSIM NMSE Dice PSNR
Whole brain 0.91 0.03 0.32 64.35
Whole tumor 0.90 0.01 0.35 48.99
Enhancing tumor 0.90 0.01 0.62 49.93
Mask	SSIM	NMSE	Dice	PSNR
Whole brain	0.91	0.03	0.32	64.35
Whole tumor	0.90	0.01	0.35	48.99
Enhancing tumor	0.90	0.01	0.62	49.93