Mouse thorax segmentation dataset
<p>This repository contains reference segmentations of the heart, spinal cord, right lung and left lung for native and contrast-enhanced mouse CT images. The CTs were drawn from a publicly available preclinical micro-CT database<sup>1</sup>. Annotations are provided for the entire native CT dataset (140 images) and for a subset (35 images) of the contrast-enhanced CT dataset. Annotations by a second observer are also available for 35 native CTs and contrast-enhanced CTs.</p> <p>This dataset was used to train a nnU-Net 3d_fullres model for automated mouse thorax segmentation. The pre-trained model can be downloaded from https://doi.org/10.5281/zenodo.5786839 and more details about the dataset and training can be found in the publication. In case you find these annotations useful for your research, please cite the original work:</p> <p>Malimban, J., Lathouwers, D., Qian, H. <em>et al.</em> Deep learning-based segmentation of the thorax in mouse micro-CT scans. <em>Sci Rep</em> 12, 1822 (2022). https://doi.org/10.1038/s41598-022-05868-7</p> <p> </p> <p><sup>1</sup>Rosenhain S, Magnuska Z A, Yamoah G G, Rawashdeh W A, Kiessling F and Gremse F 2018 A preclinical micro-computed tomography database including 3D whole body organ segmentations Online: https://springernature.figshare.com/collections/A_preclinical_micro-computed_tomography_database_including_3D_whole_body_organ_segmentations/4224377/1 </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
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