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<!DOCTYPE html>
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<head>
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<a class="page-scroll" href="model-zoo.html">Model Zoo</a>
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<a class="page-scroll" target="_blank" href="https://github.com/Project-MONAI">GitHub</a>
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<section id="hero-area" class="relative pb-10 bg-hero-ball bg-center bg-no-repeat">
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<img class="img-fluid mx-auto h-28" src="assets/img/MONAI-logo_color_full.png" alt="">
</div>
<h2 class="text-3xl font-bold leading-snug text-gray-700 mt-4 wow fadeInUp" data-wow-delay=".2s">Medical Open Network
<br> for Artificial Intelligence</h2>
</div>
</div>
<div class="flex flex-wrap justify-center wow fadeInUp mt-4 mb-4" data-wow-delay=".8s">
<a class="brand-btn-white" target="_blank" href="https://docs.monai.io/en/stable/whatsnew.html">Core v1.1</a>
<a class="brand-btn-white" target="_blank" href="https://docs.monai.io/projects/label/en/latest/whatsnew.html">Label v0.6</a>
<a class="brand-btn-white" target="_blank" href="https://docs.monai.io/projects/monai-deploy-app-sdk/en/stable/index.html">Deploy App SDK v0.5</a>
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<section id="services" class="py-24 bg-brand-light">
<div class="container grid grid-cols-1 lg:grid-cols-2">
<div class=" wow fadeInDown lg:sticky lg:top-8 lg:h-2/5" data-wow-delay="0.1s">
<h2 class="section-heading">MONAI is</h2>
<p class="pr-5 lg:pr-20 xl:pr-40 pb-8">
a set of open-source, freely available collaborative frameworks built for accelerating research and clinical collaboration in Medical Imaging. The goal is to accelerate the pace of innovation and clinical translation by building a robust software framework
that benefits nearly every level of medical imaging, deep learning research, and deployment.
</p>
</div>
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<img class="w-1/2" src="assets/img/open_source_icon.png">
</div>
<div class="col-span-5 sm:col-span-4">
<h3 class="text-brand code">Open Source Design</h3>
<p class="text-gray-600 code">MONAI is an open-source project. It is built on top of PyTorch and is released under the Apache 2.0 license.</p>
</div>
</div>
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<img class="w-1/2" src="assets/img/standardized_icon.png">
</div>
<div class="col-span-5 sm:col-span-4">
<h3 class="text-brand code">Standardized</h3>
<p class="text-gray-600 code">Aiming to capture best practices of AI development for healthcare researchers, with an immediate focus on medical imaging.</p>
</div>
</div>
<!-- Services item -->
<div class="grid grid-cols-5 col-span-5 gap-x-2 items-center bg-white p-4 wow slideInRight" data-wow-delay="0.3s">
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<img class="w-1/2" src="assets/img/user_friendly_icon.png">
</div>
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<h3 class="text-brand code">User Friendly</h3>
<p class="text-gray-600 code">Providing user-comprehensible error messages and easy to program API interfaces.</p>
</div>
</div>
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<div class="grid grid-cols-5 col-span-5 gap-x-2 items-center bg-white p-4 wow slideInRight" data-wow-delay="0.4s">
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<img class="w-1/2" src="assets/img/reproducible_icon.png">
</div>
<div class="col-span-5 sm:col-span-4">
<h3 class="text-brand code">Reproducible</h3>
<p class="text-gray-600 code">Provides reproducibility of research experiments for comparisons against state-of-the-art implementations.</p>
</div>
</div>
<!-- Services item -->
<div class="grid grid-cols-5 col-span-5 gap-x-2 items-center bg-white p-4 wow slideInRight" data-wow-delay="0.5s">
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<img class="w-1/2" src="assets/img/easy_integration_icon.png">
</div>
<div class="col-span-5 sm:col-span-4">
<h3 class="text-brand code">Easy Integration</h3>
<p class="text-gray-600 code">Designed to be compatible with existing efforts and ease of 3rd party integration for various components.</p>
</div>
</div>
<!-- Services item -->
<div class="grid grid-cols-5 col-span-5 gap-x-2 items-center bg-white p-4 wow slideInRight" data-wow-delay="0.6s">
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<img class="w-1/2" src="assets/img/high_quality_icon.png">
</div>
<div class="col-span-5 sm:col-span-4">
<h3 class="text-brand code">High Quality</h3>
<p class="text-gray-600 code">Delivering high-quality software with enterprise-grade development, tutorials for getting started and robust validation & documentation.</p>
</div>
</div>
</div>
</section>
<!-- MONAI is Section End -->
<!-- AI Lifecycle Section Start -->
<section id="feature" class="py-24">
<h2 class="mb-8 section-heading sm:section-heading-long text-center wow fadeInUp" data-wow-delay=".2s">Medical AI LifeCycle</h2>
<div class="container">
<p class="m-auto mt-8 mb-12 text-xl text-center wow fadeInUp" data-wow-delay=".2s">
When dealing with Medical AI, it's important to have tools that cover the end-to-end workflow. MONAI provides those tools for the entire Medical AI Model development workflow, from Research to Clinical Production.
</p>
<div class="grid grid-cols-1 lg:grid-cols-3">
<div class="grid grid-rows-12 wow slideInRight p-12 border-neutral-gray2 lg:border-r-2" data-wow-delay=".2s">
<h2 class="text-3xl text-gray-700 font-bold"><span class='text-brand'>01. </span> MONAI Label</h2>
<div class="aspect-w-3 aspect-h-2">
<img class="object-contain" src="assets/img/labeling.png">
</div>
<div>
<p>MONAI Label is an intelligent image labeling and learning tool that uses AI assistance to reduce the time and effort of annotating new datasets. By utilizing user interactions, MONAI Label trains an AI model for a specific task and continuously
learns and updates that model as it receives additional annotated images.</p>
</div>
<div class='text-center sm:text-left lg:text-center pt-8'>
<a class="brand-btn " href="label.html" target="_blank">Learn More</a>
</div>
</div>
<div class="grid grid-rows-12 wow slideInRight p-12 border-neutral-gray2 lg:border-r-2" data-wow-delay=".3s">
<h2 class="text-3xl text-gray-700 font-bold"><span class='text-brand'>02. </span> MONAI Core</h2>
<div class="aspect-w-3 aspect-h-2">
<img class="object-contain" src="assets/img/training.png">
</div>
<div>
<p>MONAI Core is the flagship library of Project MONAI and provides domain-specific capabilities for training AI models for healthcare imaging. These capabilities include medical-specific image transforms, state-of-the-art transformer-based
3D Segmentation algorithms like UNETR, and an AutoML framework named DiNTS.
</p>
</div>
<div class='text-center sm:text-left lg:text-center pt-8'>
<a class="brand-btn " href="core.html" target="_blank">Learn More</a>
</div>
</div>
<div class="grid grid-rows-12 wow slideInRight p-12" data-wow-delay=".4s">
<h2 class="text-3xl text-gray-700 font-bold"><span class='text-brand'>03. </span> MONAI Deploy</h2>
<div class="aspect-w-3 aspect-h-2">
<img class="object-contain" src="assets/img/deployment.png">
</div>
<div>
<p>MONAI Deploy aims to become the de-facto standard for developing packaging, testing, deploying, and running medical AI applications in clinical production. MONAI Deploy creates a set of intermediate steps where researchers and physicians
can build confidence in the techniques and approaches used with AI — allowing for an iterative workflow.
</div>
<div class='text-center sm:text-left lg:text-center pt-8'>
<a class="brand-btn " href="deploy.html" target="_blank">Learn More</a>
</div>
</div>
</div>
</div>
</section>
<!-- AI Lifecycle Section End -->
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<div>
<h2 class="section-heading wow fadeInUp" data-wow-delay=".3s">Contributors</h2>
<div class="grid wow fadeInUp" data-wow-delay=".3s">
<p>Over the last three years our community has expanded rapidly! But it takes a community to build out the success of MONAI, which is why we want to highlight contributing organizations. Below, you’ll find contributors organizations who have
dedicated resources to actively contributing back to MONAI. </p>
<div class="pt-8">
<a class="brand-btn" href="https://github.com/Project-MONAI/MONAI/blob/master/CONTRIBUTING.md" target="_blank">Join Project MONAI</a>
</div>
</div>
</div>
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<div class='p-8 lg:p-4 aspect-square'><img class='object-contain' src='assets/img/answerdigital_logo.png'></div>
<div class='p-8 lg:p-4 aspect-square'><img class='object-contain' src='assets/img/cas_logo.png'></div>
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<div class='p-8 lg:p-4 aspect-square'><img class='object-contain' src='assets/img/kcl_logo.png'></div>
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<div class='p-8 lg:p-4 aspect-square'><img class='object-contain' src='assets/img/nih-nci_logo.png'></div>
<div class='p-8 lg:p-4 aspect-square'><img class='object-contain' src='assets/img/nvidia_logo.png'></div>
<div class='p-8 lg:p-4 aspect-square'><img class='object-contain' src='assets/img/stanford_logo.png'></div>
<div class='p-8 lg:p-4 aspect-square'><img class='object-contain' src='assets/img/tum_logo.png'></div>
<div class='p-8 lg:p-4 aspect-square'><img class='object-contain' src='assets/img/ucl_logo.png'></div>
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<div class='p-8 lg:p-4 aspect-square'><img class='object-contain' src='assets/img/warwick_logo.png'></div>
</div>
</div>
</div>
</section>
<!-- Contributors Section End -->
<!-- Get Started Section Start -->
<section id="started" class="bg-neutral-lightgray py-24">
<div class="container">
<h2 class="mb-8 section-heading sm:section-heading-long text-center wow fadeInUp" data-wow-delay=".2s">Get Started with MONAI</h2>
<p class="m-auto mt-8 mb-12 text-xl text-center wow fadeInUp" data-wow-delay=".2s">
Here are a few different paths that you can get started with depending on your workload.
</p>
<div class="grid grid-cols-1 lg:grid-cols-3 lg:gap-x-12 gap-y-12 lg:gap-y-0">
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="text-xl font-bold text-center pb-4">Annotating Images with DeepEdit and 3D Slicer</h2>
<div class="aspect-w-3 aspect-h-2">
<img class="object-contain" src="https://miro.medium.com/max/702/0*1P1-UySWvCOpFaFq" />
</div>
<p class="pt-4">Start by learning how to install and run the MONAI Label Server. Then utlizing 3D Slicer and the DeepEdit algorithm to annotate your images and create your AI Annotation Model.</p>
<div class="mt-4">
<a class="brand-btn" href="https://docs.monai.io/projects/label/en/latest/quickstart.html#deepedit-annotation-with-3d-slicer" target="_blank">Read More</a>
</div>
</div>
<div class="p-8 bg-neutral-purewhite rounded-lg">
<h2 class="text-xl font-bold text-center pb-4">Transformer-Based Medical Architectures</h2>
<div class="aspect-w-3 aspect-h-2">
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<p class="pt-4">MONAI Core has two state-of-the-art transformer based architectures specific to Medical Imaging. Get hands-on experience with using these networks following our tutorials.</p>
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<a href="https://github.com/Project-MONAI/tutorials/blob/main/3d_segmentation/unetr_btcv_segmentation_3d.ipynb" target class="brand-btn"="_blank">Read More</a>
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<h2 class="text-xl font-bold text-center pb-4">Build your First Medical AI Application</h2>
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<img class="object-contain" src="assets/img/App SDK Image.png" />
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<p class="pt-4">Utilize MONAI Deploy App SDK to build your first AI application. Walk through the steps of creating operators for specific functions, and then utilize docker to create your portable AI container.</p>
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<a class="brand-btn" href="https://docs.monai.io/projects/monai-deploy-app-sdk/en/latest/getting_started/tutorials/" target="_blank">Read More</a>
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<li><a href="https://monai.medium.com/pathology-image-labeling-comes-to-monai-a033e200e587?source=friends_link&sk=01d75c9c3e7f4967db5a7b7e1ab1436a" target="_blank">Pathology Image Labeling Comes to MONAI</a></li>
<li><a href="https://monai.medium.com/from-automl-powered-development-to-cloud-native-deployment-monai-marches-forward-with-four-new-f6009a410e7f?source=friends_link&sk=c466bac1952c143211fd715a580b5584" target="_blank">From AutoML powered development to cloud-native deployment, MONAI marches forward with four new releases.</a></li>
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<li><a href="https://www.youtube.com/c/Project-MONAI" target="_blank">Project MONAI Starts a YouTube Channel</a></li>
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If you're looking to keep up with us on social media, we're active on Twitter at <a href="https://twitter.com/ProjectMONAI" target="_blank"><span class="text-brand">@ProjectMONAI</span></a>, Medium at
<a href="https://medium.com/@monai" target="_blank"><span class="text-brand">@monai</span></a>, and our YouTube Channel <a href="https://www.youtube.com/c/Project-MONAI" target="_blank"><span class="text-brand">Project-MONAI</span></a>.
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You'll find our latest blog post and updates about the newest features in MONAI on both of those platforms. On our YouTube channel you'll find overview videos of the MONAI Frameworks, Bootcamp and Event recordings, and we're starting a hands-on walkthrough
series. It's a great if you're just getting started and want to learn more about MONAI.
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If you're looking to get involved in the community directly, join our Slack! You can interact with the core development team and community members. For an invite to our Slack channel, please fill out our <a href="https://forms.gle/QTxJq3hFictp31UM9"
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