3-Fold CV results
run odir5K_ddp_effB5_640_2D_MLD_BCE_SAM.sh
needs to 4 V100 GPUs (16 GB GPU memory per GPU)
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Combining EfficientNet with ML-Decoder classification head for multi-label retinal disease classification (NCAA)
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