#final evaluation set sample for DeepLabV3 model in RAO Caudal view:
#final evaluation set sample for DeepLabV3 model in LAO Cranial view:
#final evaluation set sample for ResNet50 model in LAO Cranial view:
#final evaluation set sample for ResNet50 model in LAO Cranial view:
#final evaluation set sample for DenseNet121 model in LAO Cranial view:
#final evaluation set sample for DenseNet121 model in LAO Caudal view:
#final evaluation set sample for DenseNet121 model in LAO Straight view:
#final evaluation set sample for Simple U-Net model in LAO Cranial view:
#final evaluation set sample for AttentionEfficientWNet model in LAO Cranial view:
#final evaluation set sample for AttentionDenseWNet model in LAO Cranial view:
These models use dice score to optimize a decoder, which detects important areas and send the results to the multi class decoder as an input. This works as similar to attention and makes the classification easier.