deformation-inversion-layer


Namedeformation-inversion-layer JSON
Version 1.0.1 PyPI version JSON
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SummaryDeformation inversion layer is a neural network layer for inverting deformation fields
upload_time2023-05-26 13:29:50
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authorJoel Honkamaa
requires_python>=3.6
licenseMIT License Copyright (c) 2023 Joel Honkamaa Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords deep learning neural networks fixed point iteration deep equilibrium networks image registration deformation coordinate mapping pytorch
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            # Deformation inversion layer

*Deformation inversion layer* is a neural network layer for inverting deformation fields develped as part of SITReg, a deep learning intra-modality image registration arhitecture fulfilling strict symmetry properties.

## Installation

Install using pip by running the command

    pip install deformation-inversion-layer

## Requirements

- `Python 3.6+`
- `PyTorch 1.10+`

## Source code

Code repository can be found at GitHub [https://github.com/honkamj/deformation-inversion-layer](https://github.com/honkamj/deformation-inversion-layer)

## Documentation

For documentation, see the GitHub repository.

## Publication

If you use deformation inversion layer, please cite the SITReg paper. Details for citing can be found at the GitHub repository.

## Acknowledgments

[Tutorial](http://implicit-layers-tutorial.org/) by Zico Kolter, David Duvenaud, and Matt Johnson was very helpful in implementing the layer.

## License

Deformation inversion layer is released under the MIT license.

            

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