Pymia

Latest version: v0.3.2

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0.3.2

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* Minor bugfixes and usability improvements
* U-Net training examples in PyTorch and TensorFlow, see :ref:`examples <examples>`
* Improved documentation

0.3.1

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* Fixed missing dependency in ``setup.py``

0.3.0

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* :mod:`pymia.data` package now supports PyTorch and TensorFlow. A few classes have been renamed and refactored.
* :mod:`pymia.evaluation` package with new evaluator and writer classes. Metrics are now categorized into :mod:`pymia.evaluation.metric.categorical` and :mod:`pymia.evaluation.metric.continuous` modules
* New metrics :class:`.PeakSignalToNoiseRatio` and :class:`.StructuralSimilarityIndexMeasure`
* Removed ``config``, ``deeplearning``, and ``plotting`` packages
* Improved readability of code
* Revised examples
* Revised documentation

Migration guide
^^^^^^^^^^^^^^^

Heavy changes have been made to move pymia towards a lightweight data handling and evaluation package for
medical image analysis with deep learning. Therefore, this release is, unfortunately, not backward compatible.
To facilitate transition to this and coming versions, we thoroughly revised the documentation and the :ref:`examples <examples>`.

0.2.4

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* Bug fixes in the :mod:`pymia.evaluation` package

0.2.3

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* Refactored: :mod:`pymia.data.transformation`
* Bug fixes and code maintenance

0.2.2

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* Removed the ``tensorflow``, ``tensorboardX``, and ``torch`` dependencies during installation
* Bug fixes and code maintenance

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