def build_objectives(interface_layers):
obj_weighted = WeightedSegmentationCrossEntropyObjective(
classweights=[10000, 1],
input_layer=interface_layers["outputs"]["predicted_segmentation"],
target_name="luna:gaussian",
)
obj_jaccard = JaccardIndexObjective(
smooth=1e-5,
input_layer=interface_layers["outputs"]["predicted_segmentation"],
target_name="luna:gaussian",
)
obj_dice = SoerensonDiceCoefficientObjective(
smooth=1e-5,
input_layer=interface_layers["outputs"]["predicted_segmentation"],
target_name="luna:gaussian",
)
obj_precision = PrecisionObjective(
smooth=1e-5,
input_layer=interface_layers["outputs"]["predicted_segmentation"],
target_name="luna:gaussian",
)
obj_recall = RecallObjective(
smooth=1e-5,
input_layer=interface_layers["outputs"]["predicted_segmentation"],
target_name="luna:gaussian",
)
obj_custom = ClippedFObjective(
smooth=1e-5,
recall_weight=1.0001,
precision_weight=3.0,
input_layer=interface_layers["outputs"]["predicted_segmentation"],
target_name="luna:gaussian",
)
return {
"train": {
"objective": obj_custom,
"jaccard": obj_jaccard,
"weighted": obj_weighted,
"Dice": obj_dice,
"precision": obj_precision,
"recall": obj_recall,
},
"validate": {
"objective": obj_custom,
"jaccard": obj_jaccard,
"weighted": obj_weighted,
"Dice": obj_dice,
"precision": obj_precision,
"recall": obj_recall,
}
}
def build_objectives(interface_layers):
obj_weighted = WeightedSegmentationCrossEntropyObjective(
classweights=[10000, 1],
input_layers=interface_layers["outputs"],
target_name="luna",
)
obj_jaccard = JaccardIndexObjective(
smooth=1e-5,
input_layers=interface_layers["outputs"],
target_name="luna",
)
obj_dice = SoerensonDiceCoefficientObjective(
smooth=1.,
input_layers=interface_layers["outputs"],
target_name="luna",
)
obj_precision = PrecisionObjective(
smooth=1.,
input_layers=interface_layers["outputs"],
target_name="luna",
)
obj_recall = RecallObjective(
smooth=1.,
input_layers=interface_layers["outputs"],
target_name="luna",
)
return {
"train": {
"objective": obj_jaccard,
"weighted": obj_weighted,
"Dice": obj_dice,
"precision": obj_precision,
"recall": obj_recall,
},
"validate": {
"objective": obj_jaccard,
"weighted": obj_weighted,
"Dice": obj_dice,
"precision": obj_precision,
"recall": obj_recall,
}
}