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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="person">
<email>klugh@ethz.ch</email>
<name>Hendrik Klug</name>
</maintainer>
<longdescription>
TorchIO is a Python package containing a set of tools to efficiently read,
preprocess, sample, augment, and write 3D medical images in deep learning
applications written in PyTorch, including intensity and spatial transforms
for data augmentation and preprocessing. Transforms include typical computer
vision operations such as random affine transformations and also
domain-specific ones such as simulation of intensity artifacts due to MRI
magnetic field inhomogeneity or k-space motion artifacts.
</longdescription>
<upstream>
<remote-id type="github">fepegar/torchio</remote-id>
</upstream>
</pkgmetadata>