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【Paddle Toolkit Development Competition No.6】Paddle 适配 deepali #1006
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| cff-version: 1.2.0 | ||
| message: "If you use this software, please cite it using these metadata." | ||
| title: "deepali: Image, point set, and surface registration in PyTorch" | ||
| abstract: An open source research library for image, point set, and surface registration in PyTorch, | ||
| which is developed and maintained by the HeartFlow-Imperial College London research lab at the Biomedical Image Analysis Group. | ||
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| Deepali is a Hindu/Sanskrit Indian given name, which means "joy" as in the gratification one may feel | ||
| working with code built on a modern tensor library with support for automatic differentiation, and | ||
| "chain of lamps" alluding to the application of the chain rule by torch.autograd, the concatenation | ||
| of spatial coordinate transformations, and furthermore the (sequential) composition of PyTorch modules. | ||
| In addition, the English words "deep" and "ali(-gnment)" partially contained in this name should highlight | ||
| that this project is not only suitable for traditional non-learning based registration, but in particular | ||
| facilitates deep learning based approaches to image alignment. | ||
| type: software | ||
| authors: | ||
| - given-names: Andreas | ||
| family-names: Schuh | ||
| affiliation: HeartFlow U.K. Ltd. | ||
| orcid: https://orcid.org/0000-0002-8214-116X | ||
| - given-names: Huaqi | ||
| family-names: Qiu | ||
| affiliation: Imperial College London | ||
| - name: HeartFlow Research | ||
| doi: 10.5281/zenodo.8170161 | ||
| url: https://biomedia.github.io/deepali/ | ||
| repository-code: https://github.com/BioMedIA/deepali | ||
| keywords: | ||
| - medical-imaging | ||
| - image-registration | ||
| - spatial-transformer-networks | ||
| license: Apache-2.0 |
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| Apache License | ||
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| Code from <https://github.com/BioMedIA/deepali> | ||
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| Install: | ||
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| ``` shell | ||
| # paddlepaddle develop | ||
| python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu118/ | ||
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| # setup config file is pyproject.toml | ||
| pip install . | ||
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| # test | ||
| pytest tests/ | ||
| ``` | ||
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| @article{rueckert_1999a, | ||
| author={Rueckert, D. and Sonoda, L.I. and Hayes, C. and Hill, D.L.G. and Leach, M.O. and Hawkes, D.J.}, | ||
| title={Nonrigid registration using free-form deformations: application to breast MR images}, | ||
| journal={IEEE Transactions on Medical Imaging}, | ||
| year={1999}, | ||
| volume={18}, | ||
| number={8}, | ||
| pages={712-721}, | ||
| doi={10.1109/42.796284} | ||
| } | ||
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| @misc{lee_2019a, | ||
| author={Matthew C. H. Lee and Ozan Oktay and Andreas Schuh and Michiel Schaap and Ben Glocker}, | ||
| title={Image-and-Spatial Transformer Networks for Structure-Guided Image Registration}, | ||
| year={2019}, | ||
| eprint={1907.09200}, | ||
| archivePrefix={arXiv}, | ||
| primaryClass={cs.CV} | ||
| } | ||
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| @article{sinclair_2022a, | ||
| author = {Matthew Sinclair and Andreas Schuh and Karl Hahn and Kersten Petersen and Ying Bai and James Batten and Michiel Schaap and Ben Glocker}, | ||
| title = {Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks}, | ||
| journal = {Medical Image Analysis}, | ||
| volume = {78}, | ||
| pages = {102383}, | ||
| year = {2022}, | ||
| issn = {1361-8415}, | ||
| doi = {10.1016/j.media.2022.102383}, | ||
| } |
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| ####################################################################################### | ||
| # A default configuration that will be loaded for all jupyter books | ||
| # See the documentation for help and more options: | ||
| # https://jupyterbook.org/customize/config.html | ||
|
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| ####################################################################################### | ||
| # Book settings | ||
| title: deepali | ||
| author: HeartFlow-Imperial College London | ||
| copyright: "2020-2023" | ||
| logo: _images/logo.png | ||
|
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| # Force re-execution of notebooks on each build. | ||
| # See https://jupyterbook.org/content/execute.html | ||
| execute: | ||
| execute_notebooks: auto | ||
|
|
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| # Define the name of the latex output file for PDF builds | ||
| latex: | ||
| latex_documents: | ||
| targetname: book.tex | ||
|
|
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| # Add a bibtex file so that we can create citations | ||
| bibtex_bibfiles: | ||
| - _citations.bib | ||
|
|
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| # Information about where the book exists on the web | ||
| repository: | ||
| url: https://github.com/BioMedIA/deepali # Online location of your book | ||
| path_to_book: docs # Optional path to your book, relative to the repository root | ||
| branch: main # Which branch of the repository should be used when creating links (optional) | ||
|
|
||
| # Add GitHub buttons to your book | ||
| # See https://jupyterbook.org/customize/config.html#add-a-link-to-your-repository | ||
| html: | ||
| use_issues_button: true | ||
| use_repository_button: true | ||
|
|
||
| # Add a Launch on Google Colab button | ||
| launch_buttons: | ||
| colab_url: "https://colab.research.google.com" | ||
|
|
||
| # By default MathJax version 2 is currently used. If you are using a lot of math, | ||
| # you may want to try using version 3, which claims to improve load speeds by 60 - 80%. | ||
| sphinx: | ||
| config: | ||
| add_module_names: false | ||
| autoapi_dirs: | ||
| - ../src/deepali | ||
| autoapi_add_toctree_entry: false | ||
| autoapi_generate_api_docs: true | ||
| autoapi_ignore: | ||
| - '*ignite*' # deprecated | ||
| autoapi_keep_files: true | ||
| autoapi_member_order: bysource | ||
| autoapi_options: | ||
| - members | ||
| # - show-inheritance | ||
| - show-inheritance-diagram | ||
| - show-module-summary | ||
| autoapi_python_class_content: both | ||
| autoapi_python_use_implicit_namespaces: true | ||
| autoapi_root: reference/api | ||
| autoapi_type: python | ||
| autodoc_typehints: signature | ||
| autosummary_generate: true | ||
| bibtex_reference_style: author_year | ||
| mathjax_path: https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js | ||
| suppress_warnings: | ||
| - etoc.toctree | ||
| extra_extensions: | ||
| - autoapi.extension | ||
| - sphinx.ext.autodoc | ||
| - sphinx.ext.autosummary | ||
| - sphinx.ext.inheritance_diagram | ||
| - sphinx.ext.napoleon | ||
| - sphinx.ext.viewcode | ||
|
|
||
| parse: | ||
| myst_enable_extensions: | ||
| - amsmath | ||
| - colon_fence | ||
| - dollarmath | ||
| - linkify | ||
| - substitution | ||
| - tasklist |
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