Add your description here
Project description
MirCAT-v2
Mirshahi-Lab CT Analysis Toolkit (MirCAT). Convert dicoms, segment niftis, extract data.
V1 has been archived. This version is almost a full rewrite of the segmentation section, specifically to incorporate nnUNet models directly into the pipeline.
NOTES
When using docker -> make sure to add the --ipc=host flag or segmentation will not work
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mircat_v2-0.4.7.tar.gz.
File metadata
- Download URL: mircat_v2-0.4.7.tar.gz
- Upload date:
- Size: 442.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ef42551ad7c4ca7bfe7bfe17d493cf15234cb223890a6d6a2fd0bf37e80d7195
|
|
| MD5 |
63046db95ef8b1c44d73f738241f7e93
|
|
| BLAKE2b-256 |
9a6d6698f45ac9427a3f6cc040d627e19fae4f261d6e0dab26a86506c1a00108
|
File details
Details for the file mircat_v2-0.4.7-py3-none-any.whl.
File metadata
- Download URL: mircat_v2-0.4.7-py3-none-any.whl
- Upload date:
- Size: 345.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1515659aaf12ef57fa04e53c57912029b32bacb536f6cb361b766af9d6a951cf
|
|
| MD5 |
b4bab7e29a80dcbfb2eb507336d642d7
|
|
| BLAKE2b-256 |
1f5443472aebbb3c70c21a2fd4016543cb70db71c18a423bae1a72665b76e11b
|
