{"id":15005,"date":"2025-07-03T18:20:08","date_gmt":"2025-07-03T16:20:08","guid":{"rendered":"https:\/\/www.crs4.it\/projects\/dimasdia\/"},"modified":"2026-04-02T12:33:59","modified_gmt":"2026-04-02T10:33:59","slug":"dimasdia","status":"publish","type":"projects","link":"https:\/\/www.crs4.it\/en\/projects\/dimasdia\/","title":{"rendered":"DIMASDIA"},"content":{"rendered":"

In 2020 CRS4 participated in the DIMASDIA-COVID19 project. One of the activities aimed at diagnosing COVID19 by means of lung X-ray analysis. Deep learning AI was able to classify lung X-rays with a good degree of accuracy, distinguishing between bacterial, non-Covid and Covid viral pneumonia.<\/p>\n

Another area of application was the classification of heart failure using time sequences of ultrasound images. In this case too, the degree of accuracy achieved was quite high.<\/p>\n

The system has been developed with Neosperience SpA, Mikamai Srl, Looptribe Srl, in collaboration with the Sacco Hospital in Milan and the Auxologico Research Hospital, with funding from the Lombardy Region, the European Regional Development Fund and the Veronesi Institute.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"gruppo":[],"class_list":["post-15005","projects","type-projects","status-publish","hentry"],"acf":{"title":"Development of a clinical image analysis model aiming to support medical diagnosis during COVID-19 pandemic ","acronym":"DIMASDIA","project_uuid":"23c4fbca-45cf-11eb-943c-506b8da9258c","start_date":"09\/09\/2020","end_date":"24\/12\/2020","funder":"Regione Lombardia POR FESR 2014-2020","partners":"\n\n \n \n \n \n \n \n
Nome<\/th>\n Nazione<\/th>\n Ruolo<\/th>\n <\/tr>\n\n
Neosperience s.p.a.<\/td>\n Italy<\/td>\n Coordinator<\/td>\n <\/tr>\n\n
Ospedale Luigi Sacco<\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n\n
Istituto Auxologico Italiano<\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n\n
Mikamai<\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n\n
Looptribe<\/td>\n Italy<\/td>\n Partner<\/td>\n <\/tr>\n<\/table>","project_coordinator":[],"proj_website":"","project_status":"Completed","team_members":[{"ID":10197,"post_author":"4","post_date":"2025-06-30 17:22:33","post_date_gmt":"2025-06-30 15:22:33","post_content":"Felice Colucci graduated in Electronic Engineering in 2000 and has been working at CRS4 since 2001. His research activities have covered areas ranging from design and development for embedded systems to the creation of web services; he has also taken part in projects for the dissemination and communication of science. He is currently involved in activities related to computer vision, speaker recognition and artificial intelligence.","post_title":"Felice Colucci","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"felice-colucci","to_ping":"","pinged":"","post_modified":"2026-04-05 20:10:40","post_modified_gmt":"2026-04-05 18:10:40","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/felice-colucci\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\nDIMASDIA - CRS4<\/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:\/\/www.crs4.it\/en\/projects\/dimasdia\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DIMASDIA - CRS4\" \/>\n<meta property=\"og:description\" content=\"In 2020 CRS4 participated in the DIMASDIA-COVID19 project. 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