{"id":234,"date":"2019-08-21T08:00:59","date_gmt":"2019-08-21T07:00:59","guid":{"rendered":"https:\/\/journals.myesr.org\/eur-radiol-exp\/2019\/08\/21\/image-analysis-for-radiomics-facts-and-challenges\/"},"modified":"2025-10-22T13:04:20","modified_gmt":"2025-10-22T12:04:20","slug":"image-analysis-for-radiomics-facts-and-challenges","status":"publish","type":"post","link":"https:\/\/journals.myesr.org\/eur-radiol-exp\/blog\/image-analysis-for-radiomics-facts-and-challenges\/","title":{"rendered":"Image analysis for radiomics: facts and challenges"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1227 alignleft\" src=\"https:\/\/journals.myesr.org\/eur-radiol-exp\/wp-content\/uploads\/sites\/4\/2025\/10\/Article-4-July-2019.jpg\" alt=\"\" width=\"375\" height=\"321\" \/>This article sheds light on methods used for extracting high-dimensional data from clinical images \u2013 radiomics. The authors explain the standard steps of the radiomics process, discuss the origin of the term, and summarise the major issues in regard to this process.<\/p>\n<p><strong><br \/>\nArticle<\/strong>: <a href=\"https:\/\/eurradiolexp.springeropen.com\/articles\/10.1186\/s41747-018-0068-z\" target=\"_blank\" rel=\"noopener noreferrer\">Radiomics: the facts and the challenges of image analysis<\/a><\/p>\n<p><strong>Authors<\/strong>: Stefania Rizzo, Francesca Botta, Sara Raimondi, Daniela Origgi, Cristiana Fanciullo, Alessio Giuseppe Morganti and Massimo Bellomi<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This article sheds light on methods used for extracting high-dimensional data from clinical images \u2013 radiomics. The authors explain the standard steps of the radiomics process, discuss the origin of the term, and summarise the major issues in regard to this process. Article: Radiomics: the facts and the challenges of image analysis Authors: Stefania Rizzo, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":27,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-234","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Image analysis for radiomics: facts and challenges - European Radiology Experimental<\/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:\/\/journals.myesr.org\/eur-radiol-exp\/blog\/image-analysis-for-radiomics-facts-and-challenges\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Image analysis for radiomics: facts and challenges - European Radiology Experimental\" \/>\n<meta property=\"og:description\" content=\"This article sheds light on methods used for extracting high-dimensional data from clinical images \u2013 radiomics. 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