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Project description

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

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afids_cnn-0.2.1.tar.gz (13.7 MB view hashes)

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afids_cnn-0.2.1-py3-none-any.whl (13.7 MB view hashes)

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