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:Evaluation of MRes-UNET2D and UNET2D on test cohort 1 (n = 18)a
MRes-UNET2D UNET2D WL = 50 WW = 200 WL = 0 WW = 200 Common Grid Resampling WL = 50 WW = 200 Dice 0.95 (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).