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2.0.5

* downgrade nnunet to 2.1 to fix bug in `fast` model

2.0.4

* temporary fix of critical bug in `fast` model. Proper fix in next release.

2.0.3

* fix critical bug in `body` task postprocessing: sometimes all foreground removed

2.0.2

* allow more than 10 classes in `--roi_subset`
* bugfix in `appendicular_bones` auxiliary mapping
* in multilable output only show classes selected in `--roi_subset` if selected
* make statistics work with dicom input

2.0.1

* add option `--v1_order` to use the old class order from v1

2.0.0

* train models with nnU-Net v2 (nnunet_cust dependency no longer needed)
* roi_subset a lot faster, because cropping with 6mm low res model to roi first
* more classes and improved training dataset (for details see `resources/improvements_in_v2.md`)
* bugfix to make cli available on windows
* bugfixes in dicom io
* add `--skip_saving` argument
* automatic tests on windows, linux and mac
* statistics are not calculated anymore for ROIs which are cut off by the top or bottom of the image (use `stats_include_incomplete` to change this behaviour)
* add postprocessing for body segmentation: remove small blobs
* use dicom2nifti for dicom conversion instead of dcm2niix because easier to use across platforms

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