added 2D (normalized) surface dice metric #4050
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Signed-off-by: Silvia Seidlitz <s.seidlitz@dkfz-heidelberg.de>
wyli
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Apr 4, 2022
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Signed-off-by: Wenqi Li <wenqil@nvidia.com>
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/build |
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Signed-off-by: Silvia Seidlitz <s.seidlitz@dkfz-heidelberg.de>
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wyli
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Apr 10, 2022
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Signed-off-by: Silvia Seidlitz s.seidlitz@dkfz-heidelberg.de
Adds implementation of the normalized surface dice (NSD) metric for 2D images.
Description
The NSD implementation is based on the adaptation for 2D images described in our paper. This metric determines which fraction of a segmentation boundary is correctly predicted. A boundary element is considered correctly predicted if the closest distance to the reference boundary is smaller than or equal to the specified threshold, which is related to the (clinically) acceptable amount of deviation in pixels. The NSD is bounded between 0 and 1.
The interface is similar to the interface for the average surface distance computation.
Status
Ready
Types of changes
./runtests.sh -f -u --net --coverage../runtests.sh --quick --unittests --disttests.make htmlcommand in thedocs/folder.