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started.html
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<!DOCTYPE html>
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<h2 class="mb-6 section-heading">Get Started</h2>
<div class="w-full sm:3/5">
<p class="py-2">Are you looking to get started with Project MONAI? You can find installation and tutorial links below to help you quickly get started. If you're a more visual learner, you can find <a class="external-link" target="_blank" href="https://www.youtube.com/playlist?list=PLtoSVSQ2XzyCobzE6NvwjNpITsQyPUtfs">videos from our MONAI Bootcamp</a></p>
<p class="py-2">For MONAI, you'll find Jupyter Notebooks available to help you through fundamental components and workflows, including 2D and 3D Classification and Segmentation, Image Registration, Digital Pathology, and Accelerated Training.</p>
<p class="py-2">For MONAI Label, you'll find sample apps that utilize three different segmentation paradigms. Use the existing app as-is or create your own using these as a starting point.</p>
<p class="py-2">For MONAI Deploy, you'll find example deployment apps starting with a simple app to a MedNIST segmentation tutorial. These tutorials will walk you through the process of creating your first deployment application through deploying it using
MONAI Inference Server.</p>
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<a href="#installation"><span class="anchor-link font-semibold">Installation</span></a>
<a href="#monailabel"><span class="anchor-link font-semibold">MONAI Label Apps</span></a>
<a href="#monaicore"><span class="anchor-link font-semibold">MONAI Core Tutorials</span></a>
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<h2 class="section-heading py-8">Installation</h2>
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<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="text-brand-primary font-bold text-3xl">MONAI Core</h2>
<p class="my-2">A PyTorch-based, open-source framework for deep learning in healthcare imaging used to create state-of-the-art, end-to-end training workflows.</p>
<p class="mt-2">To install the current release run the following command:</p>
<p class="code p-4 bg-neutral-lightgray">
pip install monai
</p>
</div>
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="text-brand-primary font-bold text-3xl">MONAI Label</h2>
<p class="my-2">An intelligent open-source medical image labeling and learning tool that enables you to create annotated datasets and build AI annotation models quickly.</p>
<p class="mt-2">To install the current release run the following command:</p>
<p class="code p-4 bg-neutral-lightgray">
pip install monailabel
</p>
</div>
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="text-brand-primary font-bold text-3xl">MONAI Deploy</h2>
<p class="my-2">A framework and associated tools to design, verify and analyze the performance of AI-driven applications in the healthcare domain.</p>
<p class="mt-2">To install MONAI Deploy App SDK run the following command:</p>
<p class="code p-4 bg-neutral-lightgray">
pip install monai-deploy-app-sdk
</p>
</div>
</div>
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<h2 class="section-heading-white py-8">MONAI Core Tutorials</h2>
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<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="font-bold text-3xl">2D Classification Examples</h2>
<p class="mt-6">Image classification with MedNIST dataset</p>
<a href="https://github.com/Project-MONAI/tutorials/blob/master/2d_classification/mednist_tutorial.ipynb" target="_blank">
<p class="external-link font-bold">2D image classification demo </p>
</a>
</div>
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="font-bold text-3xl">2D Segmentation Examples</h2>
<p class="mt-6">Training and evaluation code examples for 2D medical image segmentation</p>
<a href="https://github.com/Project-MONAI/tutorials/tree/master/2d_segmentation/torch" target="_blank">
<p class="external-link font-bold">2D image segmentation with Unet</p>
</a>
</div>
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="font-bold text-3xl">3D Classification Examples</h2>
<p class="mt-6">Training and evaluation code examples for 3D medical image classification</p>
<a href="https://github.com/Project-MONAI/tutorials/tree/master/3d_classification/torch" target="_blank">
<p class="external-link font-bold">Brain MRI classification examples</p>
</a>
<p class="mt-6">Training and evaluation code examples for 3D medical image classification (with PyTorch Ignite)</p>
<a href="https://github.com/Project-MONAI/tutorials/tree/master/3d_classification/ignite" target="_blank">
<p class="external-link font-bold">Brain MRI classification examples with Ignite</p>
</a>
</div>
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="font-bold text-3xl">3D Segmentation Examples</h2>
<p class="mt-6">Brain tumor 3D segmentation</p>
<a href="https://github.com/Project-MONAI/tutorials/blob/master/3d_segmentation/brats_segmentation_3d.ipynb" target="_blank">
<p class="external-link font-bold">Brats segmentation tutorial </p>
</a>
<p class="mt-6">Training and evaluation code examples for 3D medical image segmentation</p>
<a href="https://github.com/Project-MONAI/tutorials/tree/master/3d_segmentation/torch" target="_blank">
<p class="external-link font-bold">Volumetric image segmentation examples </p>
</a>
<p class="mt-6">Build a segmentation workflow (with PyTorch Ignite)</p>
<a href="https://github.com/Project-MONAI/tutorials/blob/master/3d_segmentation/unet_segmentation_3d_ignite.ipynb" target="_blank">
<p class="external-link font-bold">Segmentation workflow demo with Ignite </p>
</a>
</div>
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="font-bold text-3xl">Performance Acceleration</h2>
<p class="mt-6">Fast training under MONAI features</p>
<a href="https://github.com/Project-MONAI/tutorials/blob/master/acceleration/fast_training_tutorial.ipynb" target="_blank">
<p class="external-link font-bold">Fast training demo </p>
</a>
<p class="mt-6">Data-parallel training with multiple-GPUs</p>
<a href="https://github.com/Project-MONAI/tutorials/blob/master/acceleration/multi_gpu_test.ipynb" target="_blank">
<p class="external-link font-bold">Multi-GPU training demo </p>
</a>
<p class="mt-6">GPU-based preprocessing in native PyTorch</p>
<a href="https://github.com/Project-MONAI/tutorials/blob/master/acceleration/transform_speed.ipynb" target="_blank">
<p class="external-link font-bold">GPU-based pipeline demo </p>
</a>
</div>
</div>
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<section id="monailabel" class="bg-neutral-lightgray">
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<h2 class="section-heading py-8">MONAI Label Sample Applications</h2>
<div class="grid grid-cols-1 sm:grid-cols-2 gap-x-8 gap-y-8">
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="font-bold text-3xl">Interactive Segmentation</h2>
<p class="mt-6">DeepGrow Segmentation Model</p>
<a href="https://github.com/Project-MONAI/MONAILabel/tree/main/sample-apps/radiology#deepgrow" target="_blank">
<p class="external-link font-bold">DeepGrow</p>
</a>
<p class="mt-6">DeepEdit Segmentation Model</p>
<a href="https://github.com/Project-MONAI/MONAILabel/tree/main/sample-apps/radiology#deepedit" target="_blank">
<p class="external-link font-bold">DeepEdit</p>
</a>
</div>
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="font-bold text-3xl">Non-Interactive Segmentation</h2>
<p class="mt-6">General Single-Label and Multi-Label Segmentation</p>
<a href="https://github.com/Project-MONAI/MONAILabel/tree/main/sample-apps/radiology#segmentation" target="_blank">
<p class="external-link font-bold">Segmentation</p>
</a>
<p class="mt-6">Spleen Segmentation Model on CT Images</p>
<a href="https://github.com/Project-MONAI/MONAILabel/tree/main/sample-apps/radiology#segmentation-spleen" target="_blank">
<p class="external-link font-bold">Spleen Segmentation</p>
</a>
</div>
</div>
</div>
</section>
<!-- Slant-up-bottom break Section Start -->
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<section id="monaideploy" class="bg-brand-light pb-16">
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<h2 class="section-heading py-8">MONAI Deploy Tutorials</h2>
<div class="grid grid-cols-1 sm:grid-cols-2 gap-x-8 gap-y-8">
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="font-bold text-3xl">MONAI Deploy Application Workflow Tutorials</h2>
<p class="mt-6">Creating a simple image processing App</p>
<a href="https://docs.monai.io/projects/monai-deploy-app-sdk/en/stable/getting_started/tutorials/simple_app.html" target="_blank">
<p class="external-link font-bold">Simple Image Processing App</p>
</a>
<p class="mt-6">Creating a MedNIST Classifier App</p>
<a href="https://docs.monai.io/projects/monai-deploy-app-sdk/en/stable/getting_started/tutorials/mednist_app.html" target="_blank">
<p class="external-link font-bold">MedNIST Classifier App</p>
</a>
<p class="mt-6">Creating a Spleen Segmentation App</p>
<a href="https://docs.monai.io/projects/monai-deploy-app-sdk/en/stable/getting_started/tutorials/segmentation_app.html" target="_blank">
<p class="external-link font-bold">Segmentation App</p>
</a>
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