{"id":169659,"date":"2008-10-07T05:22:18","date_gmt":"2008-10-07T05:22:18","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/medical-image-analysis\/"},"modified":"2023-07-28T05:51:32","modified_gmt":"2023-07-28T12:51:32","slug":"medical-image-analysis","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/medical-image-analysis\/","title":{"rendered":"Project InnerEye &#8211; Democratizing Medical Imaging AI"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background- card-background--full-bleed\">\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"720\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/10\/InnereEyeBanner2.jpg\" class=\"attachment-full size-full\" alt=\"brain tumor\" style=\"\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/10\/InnereEyeBanner2.jpg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/10\/InnereEyeBanner2-300x113.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/10\/InnereEyeBanner2-768x288.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/10\/InnereEyeBanner2-1024x384.jpg 1024w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" \/>\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 align-self-center\">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 class=\"wp-block-heading h2\" id=\"project-innereye-democratizing-medical-imaging-ai\">Project InnerEye &#8211; Democratizing Medical Imaging AI<\/h1>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<p>InnerEye is a research project from <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-cambridge\/\">Microsoft Health Futures<\/a> that uses state of the art machine learning technology to build innovative tools for the automatic, quantitative analysis of three-dimensional medical images. The goal of Project InnerEye is to democratize AI for medical image analysis and empower researchers, hospitals, life science organizations, and healthcare providers to build medical imaging AI models using Microsoft Azure.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"how-ai-is-helping-to-shrink-waiting-times-for-nhs-cancer-patients\">How AI is helping to shrink waiting times for NHS cancer patients<\/h3>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>\u201cOSAIRIS is the first cloud-based AI technology to be developed and deployed within the NHS, which we will be able to share across the NHS for patient benefit.\u201d<\/em><\/p>\n<cite><em>Dr Raj Jena, oncologist at Cambridge University Hospitals NHS Foundation Trust, UK<\/em><\/cite><\/blockquote>\n\n\n\n<p>The Project InnerEye team has been working closely with the University of Cambridge and Cambridge University Hospitals NHS Foundation Trust through a deep research collaboration around radiotherapy planning for over 10 years. Addenbrookes hospital created a new AI system, OSAIRIS, using open-source software technology from Project InnerEye and\u00a0<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/azure.microsoft.com\/en-gb\/products\/machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Machine Learning<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. \u201cOSAIRIS\u201d is saving many hours of doctors\u2019 time in preparing scans and helping to cut the time patients have to wait between referral for radiotherapy and starting treatment.<\/p>\n\n\n\n<p> <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/news.microsoft.com\/en-gb\/2023\/06\/27\/ai-helping-shrink-waiting-times-nhs-cancer-patients\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the full story of OSAIRIS in the NHS here.<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Osairis AI | Primary clip\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/B3zf6GAOr_w?feature=oembed&rel=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"project-innereye-technology\">Project InnerEye Technology<\/h3>\n\n\n\n<p>Project InnerEye builds upon many years of research in computer vision and machine learning. It employs algorithms such as the latest Convolutional Neural Networks for the automatic, voxel-wise segmentation of medical images. Our peer-reviewed research&nbsp;<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/project-innereye-evaluation-shows-how-ai-can-augment-and-accelerate-clinicians-ability-to-perform-radiotherapy-planning-13-times-faster\/\">published in JAMA Network Open<\/a> shows how AI can augment and accelerate clinicians\u2019 ability to perform radiotherapy planning 13 times faster, with an accuracy that is within the bounds of human expert variability.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-innereye-open-source-software-for-medical-imaging-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Project InnerEye open-source software (OSS)<\/a> has been created and used for deep learning research by the Project InnerEye team in Microsoft Health Futures. We have released this at no-cost under an MIT open-source license to make it widely available for the global medical imaging community, who can leverage our work. The tools aim to increase productivity for research and development of best-in-class medical imaging AI and help to enable deployment using Microsoft Azure cloud computing (subject to appropriate regulatory approvals). Support for these OSS tools is via GitHub Issues on the relevant repositories.<\/p>\n\n\n\n<div style=\"padding-bottom:0; padding-top:0\" class=\"wp-block-msr-immersive-section alignfull row has-background has-white-background-color has-text-color has-dark-gray-color wp-block-msr-immersive-section\">\n\t\n\t<div class=\"container\">\n\t\t<div class=\"wp-block-msr-immersive-section__wrapper\">\n\t\t\t<div class=\"wp-block-buttons is-content-justification-center is-horizontal is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-1 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-fill-chevron\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-innereye-open-source-software-for-medical-imaging-ai\/\">Find out more on the Project InnerEye OSS site<\/a><\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-2 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h3 class=\"wp-block-heading\" id=\"collaborations\">Collaborations<\/h3>\n\n\n\n<p>Project InnerEye has been working closely with the University of Cambridge and Cambridge University Hospitals NHS Foundation Trust through a deep research collaboration around radiotherapy for over a decade. Addenbrookes Hospital developed and deployed their own AI tool, OSAIRIS, using InnerEye OSS to reduce the amount of time cancer patients wait for radiotherapy treatment. <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.cuh.nhs.uk\/news\/ai-cuts-waiting-times-for-cancer-patients-in-nhs-first\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read more.<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image aligncenter is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2008\/10\/UHCambridge_logo_300x200.png\" alt=\"Cambridge University Hospitals logo\" class=\"wp-image-693870\" width=\"180\" height=\"120\" \/><\/figure>\n\n\n\n<p><\/p>\n<\/div>\n<\/div>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>\u201cThis collaboration between the InnerEye team at Microsoft, and the Department of Oncology at Addenbrooke&#8217;s is an example of the type of innovation that we wish to promote within the NHS. It is a good example of what can be achieved when the Trust works in collaboration with industry and the University in order to produce cutting edge technologies with real-world applications in patient care, to benefit the UK.&#8221;<\/em><\/p>\n<cite>Roland Sinker, Chief Executive Officer, Cambridge University Hospitals NHS Foundation Trust<\/cite><\/blockquote>\n\n\n\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/news.microsoft.com\/2019\/10\/01\/novartis-and-microsoft-announce-collaboration-to-transform-medicine-with-artificial-intelligence\/\">Project InnerEye and Novartis<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> have worked together on medical image deep learning models for personalized delivery of therapies through the AI Exploration program.<\/p>\n\n\n\n<p>Project InnerEye supported two projects as part of <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/collaboration\/studies-in-pandemic-preparedness\/\">Microsoft\u2019s Studies in Pandemic Preparedness<\/a> research program supporting COVID-19 and future pandemic response:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.uclhospitals.brc.nihr.ac.uk\/news\/imaging-data-could-identify-who-should-shield-covid-19-outbreaks\">Delineating Impact of COVID-19 Infection in High-Risk Populations, with University College London Hospitals and University College London&nbsp;<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/collaboration\/studies-in-pandemic-preparedness\/#!projects\">Prognosis of COVID-19 using Deep Learning Models of Chest X-Rays and Chest Computed Tomography (CT) imaging, with&nbsp;University Hospitals Birmingham<\/a><\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-3 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2019\/07\/UCL_logo_300x200-300x200.png\" alt=\"UCL logo\" class=\"wp-image-599796\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/07\/UCL-Hospitals_logo_300x200.png\" alt=\"University College London Hospitals - NHS Foundation Trust logo\" class=\"wp-image-672522\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/07\/UHBirmingham_logo_300x200.png\" alt=\"University Hospitals Birmingham - NHS Foundation Trust logo\" class=\"wp-image-672525\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"contact\">Contact<\/h2>\n\n\n\n<p>Please send an email to\u202f<a href=\"mailto:InnerEyeInfo@microsoft.com\">InnerEyeInfo@microsoft.com<\/a>\u202fif you would like further information on this project.<\/p>\n\n\n\n<p>If you have any requests or issues with the&nbsp;InnerEye&nbsp;Deep Learning Toolkit, please&nbsp;<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/microsoft\/InnerEye-DeepLearning\/issues\">submit an Issue via GitHub<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>InnerEye is a research project that uses state of the art\u00a0machine learning\u00a0technology to build innovative tools for the automatic, quantitative analysis of three-dimensional medical 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