Blue Brain – Atlas Alignment 0.6.1
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    • Installation
    • Image Registration 101
    • Building Blocks
    • Datasets
    • Intensity Based Registration
    • Labeling tool
    • Deep Learning - Generating a dataset
    • Deep Learning - Training
    • Deep Learning - Inference
    • Metrics and Evaluation
    • 3D Interpolation
        • atlalign.label package
        • atlalign.ml_utils package
        • atlalign.non_ml package

    Atlas Alignment¶

    The goal of this project is to facilitate the registration of gene expression images to a reference (Nissl) atlas.

    Contents:

    • Installation
      • Python Requirements
      • External Dependencies
      • Installation from PyPI
      • Installation from source
      • Development installation
      • Generating documentation
    • Image Registration 101
    • Building Blocks
      • Displacement field
      • Image warping
      • Annotation warping
      • Inversion
      • Composition
      • Resizing
      • Anchoring
    • Datasets
      • Nissl volume
      • Annotation volume
      • Manual registration
      • Dummy
    • Intensity Based Registration
      • ANTsPy
    • Labeling tool
      • Launching
      • Interface
      • FAQ
    • Deep Learning - Generating a dataset
      • Geometric augmentations
      • Intensity augmentations
      • Putting things together
      • Example
    • Deep Learning - Training
      • Training data
      • Custom Layers
      • Architecture
      • Loss function
      • Saving model
    • Deep Learning - Inference
      • Loading model
      • Merging
      • Forward pass
    • Metrics and Evaluation
      • Image Similarity Metrics
      • Displacement Field Metrics
      • Segmentation Metrics
      • Compute Many Metrics at Once
    • 3D Interpolation
      • CoronalInterpolator

    API Reference

    • atlalign
      • atlalign package

    Indices and tables¶

    • Index

    • Module Index

    • Search Page

    Source

    index.rst
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