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:
- .fcsv -> threshold image -> landmark distance map (could be considered probability map)
- distance map used for training
Structural T1w imaging
Convert3D:
- brainmask.nii -> 3D patches sampled at x voxels
- matching of distance maps and anatomical imaging patches is crucial for proper training
Release files for afids-cnn 0.2.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| afids_cnn-0.2.1.tar.gz | 13.7 MB | Without provenance | Details for afids_cnn-0.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| afids_cnn-0.2.1-py3-none-any.whl | Python 3 | none | any | Details for afids_cnn-0.2.1-py3-none-any.whl |
Total release size: 27.4 MB
Release files / afids_cnn-0.2.1.tar.gz
| Download URL | afids_cnn-0.2.1.tar.gz |
|---|---|
| Size | 13.7 MB |
| Tags | Source |
|
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Release files / afids_cnn-0.2.1-py3-none-any.whl
| Download URL | afids_cnn-0.2.1-py3-none-any.whl |
|---|---|
| Size | 13.7 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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poetry/1.3.2 CPython/3.8.10 Linux/5.15.0-67-generic
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Security for afids-cnn 0.2.1
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