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 3:Performance results compared with other networks on FLAIR
Technique Model AUC ACC SEN SPE FLAIR ResNet3D 0.783 0.695 0.650 0.790 FLAIR LeNet3D 0.660 0.644 0.600 0.737 FLAIR VGG3D 0.765 0.746 0.825 0.579
Note:—ResNet3D is derived from He et al;26 LeNet3D is derived from Simonyan;46 VGG3D is derived from Szegedy et al.47