{"id":14098,"date":"2021-03-16T09:35:01","date_gmt":"2021-03-16T08:35:01","guid":{"rendered":"https:\/\/ggba.swiss\/hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images\/"},"modified":"2023-07-04T13:40:13","modified_gmt":"2023-07-04T11:40:13","slug":"hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images","status":"publish","type":"post","link":"https:\/\/ggba.swiss\/en\/hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images\/","title":{"rendered":"HES-SO Valais-Wallis will contribute to the world\u2019s largest database of medical images"},"content":{"rendered":"

The team of Prof. Henning M\u00fcller from the HES-SO Valais-Wallis<\/a> has entered the European project BIGPICTURE<\/a>. This project, which is part of the Horizon 2020 research program, consists of the largest pooling of histopathological images in the world. This voluminous data will be used to train artificial intelligence software to assist doctors in their diagnoses.<\/p>\n

\u201cIt is the first time that an image database of this magnitude will be created. We are talking about several petabytes, i.e. several million gigabytes, which will be able to feed artificial intelligence and make it extremely efficient,” explains Prof. Henning M\u00fcller of the Institute of Management Informatics (IGG) of the HES-SO Valais-Wallis. “The whole of European histopathology will be brought together in a single pioneering, federative and, above all, collaborative project. To my knowledge, this is still a unique approach in the world. “<\/p>\n

With a budget of EUR 70 million and a 6-year duration, including EUR 350,000 for the team based in Sierre in the canton of Valais, the BIGPICTURE project will have a decisive impact on early cancer detection and treatment planning.<\/p>\n

By creating the first European platform, which is ethical and compliant with GDPR regulations, BIGPICTURE’s objective is to allow a rapid development of artificial intelligence in pathology by offering a significant storage capacity, while keeping the confidentiality of medical information.<\/p>\n

The platform will also be developed in a sustainable and inclusive manner, connecting communities of pathologists, researchers, AI developers, patients and industry stakeholders.<\/p>\n","protected":false},"excerpt":{"rendered":"

As part of the Horizon 2020 research program, the European project BIGPICTURE, to which the HES-SO Valais-Wallis is contributing, aims to build the world’s largest database of histopathological images.<\/p>\n","protected":false},"author":3,"featured_media":14099,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"mc4wp_mailchimp_campaign":[],"footnotes":""},"categories":[833],"tags":[893,980,883],"class_list":["post-14098","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-life-science","tag-artificial-intelligence","tag-big-data-en","tag-oncology"],"acf":[],"yoast_head":"\nHES-SO Valais-Wallis will contribute to the world\u2019s largest database of medical images - Greater Geneva Bern area<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/staging.ggba.swiss\/en\/hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"HES-SO Valais-Wallis will contribute to the world\u2019s largest database of medical images - Greater Geneva Bern area\" \/>\n<meta property=\"og:description\" content=\"As part of the Horizon 2020 research program, the European project BIGPICTURE, to which the HES-SO Valais-Wallis is contributing, aims to build the world's largest database of histopathological images.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/staging.ggba.swiss\/en\/hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images\/\" \/>\n<meta property=\"og:site_name\" content=\"Greater Geneva Bern area\" \/>\n<meta property=\"article:published_time\" content=\"2021-03-16T08:35:01+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-07-04T11:40:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/staging.ggba.swiss\/app\/uploads\/2023\/06\/bigPicture_630x380-3.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"630\" \/>\n\t<meta property=\"og:image:height\" content=\"380\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"mathieu\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"mathieu\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/staging.ggba.swiss\/en\/hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/staging.ggba.swiss\/en\/hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images\/\"},\"author\":{\"name\":\"mathieu\",\"@id\":\"https:\/\/staging.ggba.swiss\/en\/#\/schema\/person\/de091cdfd7d8bce46f9b8b1cf9d868ab\"},\"headline\":\"HES-SO Valais-Wallis will contribute to the world\u2019s largest database of medical images\",\"datePublished\":\"2021-03-16T08:35:01+00:00\",\"dateModified\":\"2023-07-04T11:40:13+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/staging.ggba.swiss\/en\/hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images\/\"},\"wordCount\":256,\"image\":{\"@id\":\"https:\/\/staging.ggba.swiss\/en\/hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/ggba.swiss\/app\/uploads\/2023\/06\/bigPicture_630x380-3.jpg\",\"keywords\":[\"Artificial Intelligence\",\"Big Data\",\"Oncology\"],\"articleSection\":[\"Life sciences\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/staging.ggba.swiss\/en\/hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images\/\",\"url\":\"https:\/\/staging.ggba.swiss\/en\/hes-so-valais-wallis-will-contribute-to-the-worlds-largest-database-of-medical-images\/\",\"name\":\"HES-SO Valais-Wallis will contribute to the world\u2019s largest database of medical images - 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