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Add lesion-wise metrics #47
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Add lesion-wise metrics #47
naga-karthik
wants to merge
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commits into
Project-MONAI:main
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ivadomed:nk/add-lesion-wise-metrics
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Otherwise, the following KeyError is raised: Traceback (most recent call last): File "/Users/user/code/MetricsReloaded/MetricsReloaded/metrics/pairwise_measures.py", line 1161, in to_dict_meas if len(self.measures_dict[key]) == 2: KeyError: 'vol_diff'
…ce (RVE) in % between the prediction and the reference.
- if both reference and prediction are empty --> model learned correctly --> setting 0 representing no over- or under-segmentation - if reference is empty, prediction is not empty --> model did not learn correctly --> setting positive value representing overestimation
Add missing `vol_diff` key to BinaryPairwiseMeasures.measures_dict
- Add info that is is a fork - Update clone link to ivadomed - Remove badges Signed-off-by: Jan Valosek <[email protected]>
Add `Relative Volume Error` metric
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This PR adds lesion-wise metrics to our fork of the MetricsReloaded package. This addition is to make the switch from
anima
to MetricsReloaded more streamlined.anima
also computes lesion-wise metrics -- having the same options in MetricsReloaded would encourage a quicker adoption of the package.