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Universal Lesion Detection on DeepLesion universal (test)

79.17Sensitivity @ 0.5 FPPIAlignShift + Ours
33.09845.05957.0268.981Mar 23, 2021May 21, 2021Jul 19, 2021Sep 16, 2021Nov 14, 2021Jan 12, 2022Mar 13, 2022

Evaluation results

MethodLinks
AlignShift + Oursslices=72021.0379.1785.7189.892.6586.83
AlignShift w/o RECIST+Oursslices=72021.0379.0385.6389.5392.4386.66
AlignShift w/o RECIST+BMslices=72021.0377.5184.9588.6392.0885.79
AlignShiftslices=72021.0377.284.3889.0392.3185.73
AlignShift w/o RECISTslices=72021.0376.3184.0788.0891.6285.02
MULAN w/o SRL + Oursslices=92021.0376.2883.1387.390.4984.3
MULAN w/o (SRL&RECIST) +Oursslices=92021.0375.9782.8186.859083.91
A3D+SATrTraining data ratio=50%, Number of input slices=72022.0375.2482.1986.9990.9683.85
MULAN w/o (SRL&RECIST) +BMslices=92021.0374.7181.6286.4489.8283.15
MULAN w/o SRLslices=92021.0373.8581.0285.9890.0182.71
AlignShift+cBM+SATrTraining data ratio=50%, Number of input slices=72022.0373.5379.9184.8988.581.71
MVP-Net+Oursslices=92021.0373.0581.4187.2289.3782.76
A3DTraining data ratio=50%, Number of input slices=72022.0372.5280.2786.1490.1582.27
MULAN w/o (SRL&RECIST)slices=92021.0372.3480.1785.2189.4181.78
MVP-Net+BMslices=92021.0372.1280.5186.0888.4181.78
AlignShift+SATrTraining data ratio=50%, Number of input slices=72022.0371.178.3283.5187.9980.23
AlignShift+cBMTraining data ratio=50%, Number of input slices=72022.0370.378.1683.3587.9979.95
MVP-Netslices=92021.0370.0778.7784.9187.3380.27
AlignShiftTraining data ratio=50%, Number of input slices=72022.0368.6976.7382.2586.5478.55
3DCE+Oursslices=92021.0366.9877.2583.6488.4179.07
Faster R-CNN+Oursslices=32021.0365.3777.2581.0387.9877.67
3DCE+BMslices=92021.0364.3875.5582.7487.7877.62
Faster R-CNN+BMslices=32021.0363.9675.5579.886.2876.12
AlignShift+cBM+SATrTraining data ratio=25%, Number of input slices=72022.0362.3170.1376.7981.1772.6
A3D+SATrTraining data ratio=25%, Number of input slices=72022.0359.9968.0574.6779.0970.45
3DCEslices=92021.0359.3270.6879.0984.3473.36
Deformable detrslices=32021.0357.6265.6470.6575.5867.37
Faster R-CNNslices=32021.0357.1770.6874.9782.4370.85
AlignShift+cBMTraining data ratio=25%, Number of input slices=72022.0356.8464.9671.8681.0868.69
AlignShift+SATrTraining data ratio=25%, Number of input slices=72022.0356.6865.0472.0377.8367.9
A3DTraining data ratio=25%, Number of input slices=72022.0355.6765.3973.3579.3168.43
AlignShiftTraining data ratio=25%, Number of input slices=72022.0352.1762.1769.575.2464.77
FCOSslices=32021.0337.7854.8464.1277.8458.65
Objects as pointsslices=32021.0334.8743.5852.4164.0148.72