{"id":1385,"date":"2021-05-05T18:24:01","date_gmt":"2021-05-05T16:24:01","guid":{"rendered":"https:\/\/portale.unime.it\/modellopersona\/?p=74"},"modified":"2025-10-13T23:26:40","modified_gmt":"2025-10-13T21:26:40","slug":"notizia-2","status":"publish","type":"post","link":"https:\/\/portale2.unime.it\/ai-healthlab\/notizia-2\/","title":{"rendered":"Super-Resolution e Deep Learning per Endomicroscopia"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1385\" class=\"elementor elementor-1385\">\n\t\t\t\t<div class=\"elementor-element elementor-element-30b56c59 e-flex e-con-boxed e-con e-parent\" data-id=\"30b56c59\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6eda8863 elementor-widget elementor-widget-text-editor\" data-id=\"6eda8863\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\tNegli ultimi anni la ricerca sul miglioramento qualitativo dell\u2019endomicroscopia tramite Intelligenza Artificiale ha visto il nostro gruppo contribuire sia con nuove metodologie che con studi sistematici. Di seguito tutti i lavori pubblicati principali, con una nota chiara su cosa apporta ciascun contributo.\n\n<br>\n\n<strong>Motivazioni &amp; Obiettivi<\/strong>\n<ul>\n<li>Elevare la qualit\u00e0 diagnostica delle immagini di endomicroscopia con tecniche di super-risoluzione, rendendo possibili applicazioni cliniche affidabili anche in assenza di dati ad alta risoluzione.<\/li>\n<li>Mettere a confronto, standardizzare e portare sul campo tecniche avanzate di deep learning per la SR e la ricostruzione spaziotemporale.<\/li>\n<\/ul>\n\n<br>\n\n<strong>Metodi e Risultati<\/strong>\n<ul>\n<li>\n<b>Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy<\/b>\n<br>\n<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1361841518305966\" target=\"_blank\">Medical Image Analysis, 2019<\/a>\n<br>\n<i>Primo framework non supervisionato basato su GAN e consistenza ciclica fisicamente ispirata: consente l\u2019apprendimento della SR anche in assenza di coppie perfettamente allineate LR\/HR, trasferendo la qualit\u00e0 HR tra domini diversi. Validato su 238 sequenze video da 143 pazienti, con metriche quantitative e studio MOS clinico.<\/i>\n<\/li>\n<br>\n<li>\n<b>Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction<\/b>\n<br>\n<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0940623818303657\" target=\"_blank\">International Journal of Computer Assisted Radiology and Surgery, 2018<\/a> \u2013\n<a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC5973979\/\" target=\"_blank\">PMC Open Access<\/a>\n<br>\n<i>Propone una strategia efficace di generazione dati sintetici tramite video-mosaicking per addestrare DNNs allo SR, anche dove le immagini HR reali mancano. Analizza tre tecniche state-of-the-art su oltre 8800 immagini e conferma (anche con MOS) il guadagno qualitativo.<\/i>\n<\/li>\n<br>\n<li>\n<b>Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches<\/b>\n<br>\n<a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC7316691\/\" target=\"_blank\">International Journal of Computer Assisted Radiology and Surgery, 2020<\/a>\n<br>\n<i>Studio comparativo su CNN dense vs sparse per la super-risoluzione da input irregolari (tipici di pCLE); introduce anche strati kernel Nadaraya-Watson nel framework profondo e genera dati sintetici per benchmarking robusto.<\/i>\n<\/li>\n<\/ul>\n\n<br>\n\n<h3><b>Codice Repository<\/b><\/h3>\n<ul>\n<li>\n<b>Al momento, il codice open-source specifico per la super-resolution endomicroscopica non \u00e8 disponibile in repository pubblici dedicati.<\/b>\n<br>\nPer richieste o collaborazioni, contattare gli autori dei lavori citati.\n<\/li>\n<\/ul>\n\n<br>\n\n<h3><b>Team &amp; Autori<\/b><\/h3>\n<div style=\"border:1px solid #ccc;padding:12px\">\n<ul>\n<li><a href=\"https:\/\/github.com\/daniravi\" target=\"_blank\">Daniele Rav\u00ec<\/a> (PI, metodologie deep learning, progettazione framework GAN\/SR, validazione su dati reali)<\/li>\n<li>Agnieszka B. Szczotka (idea e sviluppo sparse\/dense CNN, dataset, validazione UCL)<\/li>\n<li>Stephen P. Pereira, Tom Vercauteren, D.I. Shakir, M.J. Clarkson (KCL, UCL, collaborazione clinica e supervisione)<\/li>\n<\/ul>\nCollaborazioni UCL\u2013King\u2019s College London, validazione clinica su pazienti, benchmarking su database propri e open.\n<\/div>\n\n<div style=\"width: 1240px;\" class=\"wp-video\"><video class=\"wp-video-shortcode\" id=\"video-1385-1\" width=\"1240\" height=\"638\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/mp4\" src=\"https:\/\/portale2.unime.it\/ai-healthlab\/wp-content\/uploads\/sites\/94\/2021\/05\/super_resolution_video.mp4?_=1\" \/><a href=\"https:\/\/portale2.unime.it\/ai-healthlab\/wp-content\/uploads\/sites\/94\/2021\/05\/super_resolution_video.mp4\">https:\/\/portale2.unime.it\/ai-healthlab\/wp-content\/uploads\/sites\/94\/2021\/05\/super_resolution_video.mp4<\/a><\/video><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Negli ultimi anni la ricerca sul miglioramento qualitativo dell\u2019endomicroscopia tramite Intelligenza Artificiale ha visto il nostro gruppo contribuire sia con nuove metodologie che con studi sistematici. Di seguito tutti i lavori pubblicati principali, con una nota chiara su cosa apporta ciascun contributo. Motivazioni &amp; Obiettivi Elevare la qualit\u00e0 diagnostica delle immagini di endomicroscopia con tecniche&hellip; <a class=\"more-link\" href=\"https:\/\/portale2.unime.it\/ai-healthlab\/notizia-2\/\">Continua a leggere <span class=\"screen-reader-text\">Super-Resolution e Deep Learning per Endomicroscopia<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":2341,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1385","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-it","entry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Super-Resolution e Deep Learning per Endomicroscopia - AI-HealthLab<\/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:\/\/portale2.unime.it\/ai-healthlab\/notizia-2\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Super-Resolution e Deep Learning per Endomicroscopia - AI-HealthLab\" \/>\n<meta property=\"og:description\" content=\"Negli ultimi anni la ricerca sul miglioramento qualitativo dell\u2019endomicroscopia tramite Intelligenza Artificiale ha visto il nostro gruppo contribuire sia con nuove metodologie che con studi sistematici. 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Motivazioni &amp; Obiettivi Elevare la qualit\u00e0 diagnostica delle immagini di endomicroscopia con tecniche&hellip; Continua a leggere Super-Resolution e Deep Learning per Endomicroscopia\" \/>\n<meta property=\"og:url\" content=\"https:\/\/portale2.unime.it\/ai-healthlab\/notizia-2\/\" \/>\n<meta property=\"og:site_name\" content=\"AI-HealthLab\" \/>\n<meta property=\"article:published_time\" content=\"2021-05-05T16:24:01+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-10-13T21:26:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/portale2.unime.it\/ai-healthlab\/wp-content\/uploads\/sites\/94\/2021\/05\/Screenshot-from-2019-07-09-17-08-10_edited-e1760275528823.png\" \/>\n\t<meta property=\"og:image:width\" content=\"948\" \/>\n\t<meta property=\"og:image:height\" content=\"889\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"robertam\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Scritto da\" \/>\n\t<meta name=\"twitter:data1\" content=\"robertam\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minuti\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-2\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-2\\\/\"},\"author\":{\"name\":\"robertam\",\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/#\\\/schema\\\/person\\\/52269e7b1f938c4c4f745090dfe43160\"},\"headline\":\"Super-Resolution e Deep Learning per Endomicroscopia\",\"datePublished\":\"2021-05-05T16:24:01+00:00\",\"dateModified\":\"2025-10-13T21:26:40+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-2\\\/\"},\"wordCount\":381,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/wp-content\\\/uploads\\\/sites\\\/94\\\/2021\\\/05\\\/Screenshot-from-2019-07-09-17-08-10_edited-e1760275528823.png\",\"articleSection\":[\"NEWS\"],\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-2\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-2\\\/\",\"url\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-2\\\/\",\"name\":\"Super-Resolution e Deep Learning per Endomicroscopia - 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