moosez-v.3.0.7

Full Changelog: moosez-v.3.0.6...moosez-v.3.0.7

moosez-v.3.0.6

What's Changed

• Python 3.9 type hints and compatability | FOV warning | better logging by @Keyn34 in #162

Full Changelog: moosez-v.3.0.5...moosez-v.3.0.6

moosez-v.3.0.5

What's Changed

• Improved output handling for nnUNet and better package function by @Keyn34 in #159

Full Changelog: moosez-v.3.0.4...moosez-v.3.0.5

moosez-v.3.0.4

Full Changelog: moosez-v.3.0.3...moosez-v.3.0.4

moosez-v.3.0.3

What's Changed

• Added clin_ct_all_bones_v1 model by @mprires in #74
• Added new puma model by @mprires in #79
• Added clin_pt_fdg_brain_v1_model by @mprires in #81
• logging fix/adjustment by @Keyn34 in #84
• Added the new body model by @mprires in #86
• New ALPACA model by @mprires in #87
• Updated preclinical MR model by @mprires in #90
• moose-v.2.3.8 by @LalithShiyam in #93
• Fixed MOOSE on CPU by @mprires in #96
• Bug fix for "ITK ERROR: ITK only supports orthonormal direction cosines. No orthonormal definition found!" by @zax0s in #100
• Fix path to preclin_mr_all model by @n7k-dobri in #101
• Added PUMA 4mm model by @mprires in #102
• Added new ribs model by @mprires in #104
• docs: add n7k-dobri as a contributor for code by @allcontributors in #107
• docs: add mprires as a contributor for code by @allcontributors in #108
• docs: add zax0s as a contributor for code by @allcontributors in #109
• docs: add dhaberl as a contributor for code by @allcontributors in #110
• Changed the download link to the new PUMA model by @mprires in #111
• docs: add W7ebere as a contributor for doc by @allcontributors in #114
• Updated model links for new AWS bucket by @mprires in #116
• Update setup.py by @LalithShiyam in #117
• Fixed error in links by @mprires in #118
• Bug: PUMA label error. by @LalithShiyam in #119
• docs: add Kazezaka as a contributor for code by @allcontributors in #120
• New 1.7k PUMA model by @mprires in #124
• docs: add ltetrel as a contributor for code, and doc by @allcontributors in #126
• docs: add Kitware as a contributor for code, and doc by @allcontributors in #127
• Removed MPS check by @mprires in #130
• change numpy requirement to <2.0 by @mprires in #132
• Updated organs and peripheral bones to the 1.6k model by @mprires in #136
• Update binning of intensity statistics filter by @Keyn34 in #141
• MOOSEv3 is live. by @LalithShiyam in #142
• Improved model overview in NOTE section. by @Keyn34 in #143
• Improved OutputManager class, project structure and -herd command by @Keyn34 in #144
• Model redundancies removed by @mprires in #146
• Added a column with number of training data to the model table by @mprires in #147
• EHANCE dataset download implementation by @Keyn34 in #148
• Updated readme table to reflect the current models and tissues by @mprires in #151
• Update README.md by @Keyn34 in #154
• Added old fat model. Fixed acvl-util issue by @mprires in #157

New Contributors

• @zax0s made their first contribution in #100
• @n7k-dobri made their first contribution in #101
• @allcontributors made their first contribution in #107

Full Changelog: moosez-v.2.2.37...moosez-v.3.0.3

moosez-v.2.2.37

Change `os.rename` to `shutil.move` to allow file overwriting in `ren…

moose-v.2.2.36

Fix version number

moose-v.2.2.35

[Bug] Included the right opencv-python version

https://github.com/QIMP-Team/MOOSE/issues/67

Moose v2.2.33 Release Notes

Date: 3rd october 2023

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New Features

• Custom nnU-Net Trainer: Specialized trainer for optimized vertebrae segmentation.
• Severe Data Augmentation (DA5): Enhanced data augmentation strategy for improved generalization.
• No Mirroring: Focused on capturing clinically relevant features by removing data mirroring.

---

Notes

• Backward-compatible but upgrading is strongly recommended.
• Performance metrics comparing new and old models to be released soon.

moose v2.2.32 Release Notes

Release Date

2023-09-26

Overview

We are excited to announce the release of moose v2.2.32! This update brings new features and improvements that make medical image analysis for preclinical arena easier and more efficient.

What's New

Features

Preclinical CT Legs Model

• We've included a new model called preclin_ct_legs, designed to segment mouse preclinical CT images for the left and right leg.

Improvements

tqdm Progress Bar in nnunetv2

• The tqdm progress bar from nnunetv2 is now hidden. We rerouted it to stderr to make the user interface cleaner.

Installation

To install the latest version, run the following command:

pip install moosez==2.2.32

or update using:

pip install --upgrade moosez

Acknowledgments

We would like to thank our contributors and users for their continued support and feedback.