| Name | afids-cnn JSON |
| Version |
0.2.1
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| Summary | |
| upload_time | 2023-10-03 20:40:03 |
| maintainer | |
| docs_url | None |
| author | Your Name |
| requires_python | >=3.8,<3.12 |
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# afids-NN
Utilizing the anatomical fiducals framework to identify other salient brain regions and automatic localization of anatomical fiducials using neural networks
# Processing data for training
Convert3D
## Anatomical landmark data (AFIDs)
Convert3D:
1) .fcsv -> threshold image -> landmark distance map (could be considered probability map)
2) distance map used for training
## Structural T1w imaging
Convert3D:
1) brainmask.nii -> 3D patches sampled at x voxels
2) matching of distance maps and anatomical imaging patches is crucial for proper training
Raw data
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