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Universal Lesion Detection on DeepLesion standard (test)

81.02Sensitivity @ 0.5 FPPISATr
55.12461.84768.5775.293Mar 28, 2023

Evaluation results

MethodLinks
SATrSlices=72023.0381.0286.6490.6993.387.91———
DiffULDSlices=72023.0380.4387.1691.293.2188———
DiffULDSlices=32023.0377.8484.5789.4192.3186.03———
DKA-ULDSlices=32023.0377.3884.0689.2892.0485.79———
MULANSlices=272023.0376.182.587.590.984.33———
A3DSlices=32023.0374.181.8187.8792.1383.98———
MVP-NetSlices=92023.0373.8381.8287.691.383.64———
AlignShiftSlices=32023.037381.1787.0591.7883.25———
RetinaNetSlices=32023.0372.1880.0786.490.7782.36———
DN-DETRSlices=32023.0369.2777.983.9788.5981.02———
CenterNet++Slices=32023.0367.3475.9582.7387.7278.43———
3DCESlices=272023.0362.4873.3780.785.6575.55———
FCOSSlices=32023.0356.1267.3173.7581.4469.66———
3DCENumber of slices=92018.06—————83.5787.8156
3DCENumber of slices=272018.06—————84.3787.85114
Data-level fusionNumber of slices=112018.06—————82.9486.5228
Faster RCNNNumber of slices=32018.06—————80.3285.3432
Improved R-FCNNumber of slices=32018.06—————81.5385.8919
No 3D context2018.06—————76.5180.1619