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update changelog; set version nr to 2.5.0
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wasserth committed Jan 16, 2025
1 parent 044a1d8 commit 30820c8
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22 changes: 18 additions & 4 deletions CHANGELOG.md
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## Master



## Release 2.5.0
* major update to all MR models: double the number of training subjects
* add `tissue_4_types` task: add intermuscular fat class
* add `vertebrae_mr` task: numbered single vertebrae segmentation in MR images (for CT this is already part of the `total` task)
* add `appendicular_bones_mr` task: add appendicular bones segmentation for MR images
* add `thigh_shoulder_muscles_mr` task: add thigh and shoulder muscles segmentation for CT and MR images
* add `vertebrae_body` with new class `intervertebral_discs`
* add `body_mr` task: add body segmentation for MR images
* add `kidney_cysts` task: greatly improved kidney cyst segmentation compared to the `kidney_cyst` class which is part of `total` task
* add `breasts` task: add breast segmentation
* add `oculomotor_muscles` task: add oculomotor muscles model
* add `lung_nodules` task (thanks to [BLUEMIND AI](https://bluemind.co/))
* update `coronary_arteries` task: increased number of training subjects, including non-contrast images
* add option to remove small connected components in postprocessing
* add `totalseg_get_modality`
* change pi_time threshold for arterial late phase from 50s to 60s
* add oculomotor muscles model
* add `totalseg_get_modality`: estimate modality (CT or MR) from input image
* removed `rt_utils` and `p_tqdm` dependency
* add lung nodules model (thanks to [BLUEMIND AI](https://bluemind.co/))
* change pi_time threshold for arterial late phase from 50s to 60s


## Release 2.4.0
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2 changes: 1 addition & 1 deletion setup.py
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setup(name='TotalSegmentator',
version='2.4.0',
version='2.5.0',
description='Robust segmentation of 104 classes in CT images.',
long_description="See Readme.md on github for more details.",
url='https://github.com/wasserth/TotalSegmentator',
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2 changes: 2 additions & 0 deletions totalsegmentator/libs.py
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Expand Up @@ -310,6 +310,8 @@ def download_pretrained_weights(task_id):
weights_path = config_dir / "Dataset303_face_1559subj"
elif task_id == 481:
weights_path = config_dir / "Dataset481_tissue_1559subj"
elif task_id == 485:
weights_path = config_dir / "Dataset485_tissue_4types_1559subj"
elif task_id == 305:
weights_path = config_dir / "Dataset305_vertebrae_discs_1559subj"
elif task_id == 854:
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1 change: 1 addition & 0 deletions totalsegmentator/map_to_binary.py
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"appendicular_bones_mr": 855,
"tissue_types": 481,
"tissue_types_mr": 854,
"tissue_4_types": 485,
"vertebrae_body": 305,
"face": 303,
"face_mr": 856,
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