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Chromosomal Anomaly Detection on Chromosomal anomaly detection dataset

97.23AccuracyP&R
72.467678.896385.32591.7537Apr 1, 2026

Evaluation results

MethodLinks
P&RBackbone=ResNet182026.0497.2370.0698.4478.2498.489573.03
P&RBackbone=ResNet502026.0497.1968.3598.479.5698.3794.8372.46
ReADBackbone=ResNet182026.0496.2948.6198.4173.8697.4991.2156.17
ReADBackbone=ResNet502026.0496.2151.0798.3870.6797.4990.2356.55
Over-samplingBackbone=ResNet182026.0496.1153.6398.1271.1797.5791.4458.75
Energy-oodBackbone=ResNet182026.0496.0454.5897.8668.6997.7191.7259.06
ChroSiameseADBackbone=ResNet182026.0496.0449.8698.2768.0197.3787.454.93
BaselineBackbone=ResNet182026.0495.9430.1399.2265.9996.3779.3633.92
BaselineBackbone=ResNet502026.0495.9429.2899.3653.0996.381.2630.89
LDAM-DRWBackbone=ResNet182026.0495.8554.9797.5668.6397.7791.1859.59
Energy-oodBackbone=ResNet502026.0495.8350.7597.8367.4796.3891.0155.53
ChroSiameseADBackbone=ResNet502026.0495.8246.1298.3169.4697.1983.7352.6
BCLBackbone=ResNet182026.0495.7157.0497.5360.2497.7291.7457.34
LDAM-DRWBackbone=ResNet502026.0495.6457.2597.2965.0197.7891.3158.67
Over-samplingBackbone=ResNet502026.0495.5854.5597.4659.5297.6890.4955.3
Focal LossBackbone=ResNet502026.0495.3655.5797.262.0397.6491.4156
Focal LossBackbone=ResNet182026.0495.3354.5297.9670.8896.0191.1659.44
BCLBackbone=ResNet502026.0494.861.2496.5151.4597.7690.5154.74
Under-samplingBackbone=ResNet502026.0493.3140.5895.7342.1796.9482.0736.78
Under-samplingBackbone=ResNet182026.0491.3950.3893.3941.4397.2283.9938.27
BBNBackbone=ResNet182026.0486.1661.1487.943.1197.4886.7437.13
BBNBackbone=ResNet502026.0473.4260.7674.8738.2197.2182.5521.78