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Pediatric release
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‎.gitignore‎

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.ipynb_checkpoints/
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__pycache__/
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*.swp
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echonet.cfg
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.echonet.cfg
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*.pyc
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echonet.egg-info/

‎.travis.yml‎

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language: minimal
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os:
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- linux
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env:
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# - PYTHON_VERSION=3.6 PYTORCH_VERSION=1.1 TORCHVISION_VERSION=0.2 (torchvision 0.2 does not have VisionDataset)
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# - PYTHON_VERSION=3.6 PYTORCH_VERSION=1.1 TORCHVISION_VERSION=0.3 (torchvision 0.3 has a cuda issue)
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- PYTHON_VERSION=3.6 PYTORCH_VERSION=1.1 TORCHVISION_VERSION=0.4
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- PYTHON_VERSION=3.6 PYTORCH_VERSION=1.1 TORCHVISION_VERSION=0.5
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# - PYTHON_VERSION=3.6 PYTORCH_VERSION=1.2 TORCHVISION_VERSION=0.2
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# - PYTHON_VERSION=3.6 PYTORCH_VERSION=1.2 TORCHVISION_VERSION=0.3
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- PYTHON_VERSION=3.6 PYTORCH_VERSION=1.2 TORCHVISION_VERSION=0.4
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- PYTHON_VERSION=3.6 PYTORCH_VERSION=1.2 TORCHVISION_VERSION=0.5
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# - PYTHON_VERSION=3.6 PYTORCH_VERSION=1.3 TORCHVISION_VERSION=0.2
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# - PYTHON_VERSION=3.6 PYTORCH_VERSION=1.3 TORCHVISION_VERSION=0.3
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- PYTHON_VERSION=3.6 PYTORCH_VERSION=1.3 TORCHVISION_VERSION=0.4
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- PYTHON_VERSION=3.6 PYTORCH_VERSION=1.3 TORCHVISION_VERSION=0.5
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# - PYTHON_VERSION=3.6 PYTORCH_VERSION=1.4 TORCHVISION_VERSION=0.2
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# - PYTHON_VERSION=3.6 PYTORCH_VERSION=1.4 TORCHVISION_VERSION=0.3
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- PYTHON_VERSION=3.6 PYTORCH_VERSION=1.4 TORCHVISION_VERSION=0.4
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- PYTHON_VERSION=3.6 PYTORCH_VERSION=1.4 TORCHVISION_VERSION=0.5
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# - PYTHON_VERSION=3.7 PYTORCH_VERSION=1.1 TORCHVISION_VERSION=0.2
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# - PYTHON_VERSION=3.7 PYTORCH_VERSION=1.1 TORCHVISION_VERSION=0.3
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- PYTHON_VERSION=3.7 PYTORCH_VERSION=1.1 TORCHVISION_VERSION=0.4
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- PYTHON_VERSION=3.7 PYTORCH_VERSION=1.1 TORCHVISION_VERSION=0.5
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# - PYTHON_VERSION=3.7 PYTORCH_VERSION=1.2 TORCHVISION_VERSION=0.2
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# - PYTHON_VERSION=3.7 PYTORCH_VERSION=1.2 TORCHVISION_VERSION=0.3
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- PYTHON_VERSION=3.7 PYTORCH_VERSION=1.2 TORCHVISION_VERSION=0.4
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- PYTHON_VERSION=3.7 PYTORCH_VERSION=1.2 TORCHVISION_VERSION=0.5
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# - PYTHON_VERSION=3.7 PYTORCH_VERSION=1.3 TORCHVISION_VERSION=0.2
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# - PYTHON_VERSION=3.7 PYTORCH_VERSION=1.3 TORCHVISION_VERSION=0.3
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- PYTHON_VERSION=3.7 PYTORCH_VERSION=1.3 TORCHVISION_VERSION=0.4
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- PYTHON_VERSION=3.7 PYTORCH_VERSION=1.3 TORCHVISION_VERSION=0.5
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# - PYTHON_VERSION=3.7 PYTORCH_VERSION=1.4 TORCHVISION_VERSION=0.2
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# - PYTHON_VERSION=3.7 PYTORCH_VERSION=1.4 TORCHVISION_VERSION=0.3
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- PYTHON_VERSION=3.7 PYTORCH_VERSION=1.4 TORCHVISION_VERSION=0.4
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- PYTHON_VERSION=3.7 PYTORCH_VERSION=1.4 TORCHVISION_VERSION=0.5
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install:
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- if [[ "$TRAVIS_OS_NAME" == "linux" ]];
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then
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MINICONDA_OS=Linux;
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sudo apt-get update;
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else
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MINICONDA_OS=MacOSX;
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brew update;
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fi
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- wget https://repo.anaconda.com/miniconda/Miniconda3-latest-${MINICONDA_OS}-x86_64.sh -O miniconda.sh
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- bash miniconda.sh -b -p $HOME/miniconda
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- source "$HOME/miniconda/etc/profile.d/conda.sh"
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- hash -r
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- conda config --set always_yes yes --set changeps1 no
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- conda update -q conda
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# Useful for debugging any issues with conda
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- conda info -a
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- conda search pytorch || true
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- conda create -q -n test-environment python=${PYTHON_VERSION} pytorch=${PYTORCH_VERSION}
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- conda activate test-environment
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- pip install -q torchvision==${TORCHVISION_VERSION} "pillow<7.0.0"
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- pip install -q .
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- pip install -q flake8 pylint
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script:
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- flake8 --ignore=E501
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- pylint --disable=C0103,C0301,R0401,R0801,R0902,R0912,R0913,R0914,R0915 --extension-pkg-whitelist=cv2,torch --generated-members=torch.* echonet/ scripts/*.py setup.py
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- python -c "import echonet"

‎LICENSE.txt‎

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Copyright Notice
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The authors are the proprietor of certain copyrights of and to EchoNet-Dynamic software, source code and associated material. Code also contains source code created by certain third parties. Redistribution and use of the Code with or without modification is not permitted without explicit written permission by the authors.
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Copyright 2019 The authors. All rights reserved.

‎README.md‎

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EchoNet-Peds:<br/>Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients
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------------------------------------------------------------------------------
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EchoNet-Peds is a deep learning model for pediatric patients that provides:
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1) semantic segmentation of the left ventricle
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2) prediction of ejection fraction by entire video or subsampled clips, and
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3) assessment of cardiomyopathy with reduced ejection fraction.
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Dataset
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-------
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We share a deidentified set of echocardiogram videos which were used for training EchoNet-Peds.
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Preprocessing of these images, including deidentification and conversion from DICOM format to AVI format videos, were performed with OpenCV and pydicom. Additional information is at https://echonet.github.io/pediatric/. These deidentified images are shared with a non-commerical data use agreement.
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Installation
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------------
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First, clone this repository and enter the directory by running:
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git clone https://github.com/bryanhe/dynamic.git
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cd dynamic
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git checkout pediatric
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EchoNet-Peds is implemented for Python 3, and depends on the following packages:
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- NumPy
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- PyTorch
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- Torchvision
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- OpenCV
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- skimage
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- sklearn
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- tqdm
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Echonet-Peds and its dependencies can be installed by navigating to the cloned directory and running
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pip install --user .

‎docs/NeuroIPS_2019_ML4H Workshop_Paper.pdf‎

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‎docs/SU_Seal_Red.png‎

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‎docs/favicon.ico‎

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‎docs/google662250efb9603afb.html‎

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google-site-verification: google662250efb9603afb.html

‎docs/header.html‎

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<div id="top">
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<div class="container">
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<!--=== Skip links ===-->
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<div id="skip"> <a href="#content" onClick="$('#content').focus()">Skip to content</a> </div>
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<!-- /Skip links -->
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</div>
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</div>
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<div id="brandbar">
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<div class="container"> <a href="http://www.stanford.edu"> <img src="lagunita/images/brandbar-stanford-logo%402x.png" alt="Stanford University" width="152" height="23"> </a> </div>
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<!-- .container end -->
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</div>
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<div id="header" class="clearfix" role="banner">
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<div class="container">
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<div class="row">
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<div class="col-md-8">
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<div id="logo" class=" clearfix"><a href="/"><img class="img-responsive" src="SU_Seal_Red.png" alt="Stanford University" /></a></div>
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<div id="signature">
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<div id="site-name"> <a href="/"><span id="site-name-1" style="font-size:20pt">CS 221: Artificial Intelligence: Principles and Techniques</span></a> </div>
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<div id="site-slogan"> <a href="/"><span id="site_slogan">Spring 2017-2018</span></a> </div>
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</div>
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</div>
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</div>
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</div>
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</div>
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<!-- Menu -->
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<div id="mainmenu" class="clearfix" role="navigation">
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<div class="container">
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<div class="navbar navbar-default">
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<!-- main navigation -->
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<button type="button" class="navbar-toggle btn-navbar" data-toggle="collapse" data-target=".navbar-collapse"> <span class="icon-bar"></span> <span class="icon-bar"></span> <span class="icon-bar"></span> <span class="menu-text">Menu</span></button>
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<!-- /nav-collapse -->
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<div class="navbar-collapse collapse">
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<div role="navigation">
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<div id="primary-nav">
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<ul class="nav navbar-nav" aria-label="primary navigation">
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<li id="nav-1"> <a href="index.html">Home</a> </li>
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<li id="nav-1"> <a href="index.html#calendar">Calendar</a> </li>
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<li id="nav-1"> <a href="index.html#coursework">Coursework</a> </li>
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<li id="nav-1"> <a href="https://gradescope.com/courses/17217">Gradescope</a> </li>
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<li id="nav-1"> <a href="https://piazza.com/class/jfa5tlzb1me38q">Piazza</a> </li>
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<li id="nav-1"> <a href="project.html">Project</a> </li>
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<li id="nav-1"> <a href="http://queuestatus.com/queues/129">Queuestatus</a> </li>
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<li id="nav-1"> <a href="index.html#schedule">Schedule</a> </li>
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</ul>
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</div>
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</div>
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</div>
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<!-- /nav-collapse -->
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</div>
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<!-- /navbar -->
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</div>
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<!-- /container -->
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</div>
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<!-- /mainmenu -->

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