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0.2.1

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afids-cnn

# 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

Published3 Oct 2023
Direct dependencies7
Transitive dependenciesNot calculated

README

Version 0.2.1 documentation

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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Declared dependencies 7

Native requirements
7 direct targetsNot calculated transitive count
Package / targetRequirementRelationship
numpy
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numpy (>=1.22,<1.24)runtime
tensorflow
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tensorflow (>=2.12.0,<3.0.0)runtime
keras
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keras (>=2.12.0,<3.0.0)runtime
torch
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torch (>=1.13.1,<3.0.0)runtime
snakebids
Environment
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snakebids (>=0.9.0,<0.10.0)runtime
scikit-image
Environment
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scikit-image (>=0.19.3,<0.20.0)runtime
pandas
Environment
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pandas (>=1.3,<2)runtime

Distribution files

2 collected
afids_cnn-0.2.1-py3-none-any.whl

bdist_wheel · 13,393.95 KB · Python py3

Source file
afids_cnn-0.2.1.tar.gz

sdist · 13,392.93 KB · Python source

Source file

Metadata history

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Current collected state Current

Observed since 20 Oct, 21:06 UTC

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Record identity

package_version:b714c9ceb68ec8f75d7abd98e3670387dd7a8bbc9661e68ebda16b4a9abe2cb6

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