| Name | Version | Summary | date |
| mist-medical |
0.2.1b0 |
MIST is a simple and scalable end-to-end framework for medical imaging segmentation. |
2025-07-09 23:56:50 |
| totalspineseg |
20250709 |
TotalSpineSeg is a tool for automatic instance segmentation and labeling of all vertebrae, intervertebral discs (IVDs), spinal cord, and spinal canal in MRI images. |
2025-07-09 21:07:59 |
| batchgeneratorsv2 |
0.2.3 |
Batchgenerators but better |
2025-02-12 13:59:12 |
| DLICV |
1.0.4 |
DLICV - Deep Learning Intra Cranial Volume. |
2024-12-06 19:40:02 |
| NiChart-DLMUSE |
1.0.9 |
Run NiChart_DLMUSE on your data (currently only structural pipeline is supported). |
2024-12-06 19:39:43 |
| DLMUSE |
1.0.3 |
DLMUSE - Deep Learning MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters |
2024-10-02 21:33:46 |
| nnunetv2-bm-custom |
2.5.25 |
nnU-Net is a framework for out-of-the box image segmentation. |
2024-09-03 21:18:56 |
| nnunetv2 |
2.5.1 |
nnU-Net is a framework for out-of-the box image segmentation. |
2024-07-29 08:13:31 |
| body-organ-analysis |
0.1.3 |
BOA is a tool for segmentation of CT scans developed by the SHIP-AI group at the Institute for Artificial Intelligence in Medicine (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Composition Analysis, this tool is capable of analyzing medical images and identifying the different structures within the human body, including bones, muscles, organs, and blood vessels. |
2024-04-29 13:37:56 |