Issue added spaces between section headers and paragraphs in README for clarity
# NiftyNet
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<img src="https://cmiclab.cs.ucl.ac.uk/CMIC/NiftyNet/raw/master/niftynet-logo.png" width="263" height="155">
[![build status](https://cmiclab.cs.ucl.ac.uk/CMIC/NiftyNet/badges/master/build.svg)](https://cmiclab.cs.ucl.ac.uk/CMIC/NiftyNet/commits/master)
@@ -10,6 +11,7 @@ NiftyNet is a consortium of multiple research groups (WEISS -- [Wellcome EPSRC C
### Features
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* Easy-to-customise interfaces of network components
* Designed for sharing networks and pretrained models
* Designed to support 2-D, 2.5-D, 3-D, 4-D inputs*
@@ -21,15 +23,19 @@ NiftyNet is a consortium of multiple research groups (WEISS -- [Wellcome EPSRC C
4-D: co-registered multi-modal 3D volumes</sup>
### Getting started
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Please follow the links for [demos](./demos) and [network (re-)implementations](./niftynet/network).
### Contributing
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Feature requests and bug reports are collected on [Issues](https://cmiclab.cs.ucl.ac.uk/CMIC/NiftyNet/issues).
Contributors are encouraged to take a look at [CONTRIBUTING.md](./CONTRIBUTING.md).
### Citing NiftyNet
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If you use NiftyNet, please cite the following paper:
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```
@InProceedings{niftynet17,
author = {Li, Wenqi and Wang, Guotai and Fidon, Lucas and Ourselin, Sebastien and Cardoso, M. Jorge and Vercauteren, Tom},
@@ -45,6 +51,7 @@ Copyright 2017 NiftyNet Contributors.
NiftyNet is released under the Apache License, Version 2.0. Please see the LICENSE file for details.
### Acknowledgements
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This project is grateful for the support from the [Wellcome Trust][wt], the [Engineering and Physical Sciences Research Council (EPSRC)][epsrc], the [National Institute for Health Research (NIHR)][nihr], the [Department of Health (DoH)][doh], [University College London (UCL)][ucl], the [Science and Engineering South Consortium (SES)][ses], the [STFC Rutherford-Appleton Laboratory][ral], and [NVIDIA][nvidia].
[cmic]: http://cmic.cs.ucl.ac.uk
