{"id":10701,"date":"2023-03-10T09:42:22","date_gmt":"2023-03-10T09:42:22","guid":{"rendered":"https:\/\/staging.impdiagnostics.com\/2023\/03\/10\/ai-in-cervical-pathology-diagnosis-published-in-the-scientific-reports\/"},"modified":"2024-03-28T16:36:37","modified_gmt":"2024-03-28T16:36:37","slug":"ai-in-cervical-pathology-diagnosis-published-in-the-scientific-reports","status":"publish","type":"post","link":"https:\/\/impdiagnostics.com\/en\/uncategorized\/ai-in-cervical-pathology-diagnosis-published-in-the-scientific-reports\/","title":{"rendered":"AI in Cervical Pathology Diagnosis published in the &#8220;Scientific Reports&#8221;."},"content":{"rendered":"\n<p>Cervical cancer is the 4th most common cancer in women (and the 4th leading cause of cancer death in women) globally. The research work conducted contributes to a more efficient detection of pre-malignant intraepithelial lesions. <\/p>\n\n<p>This publication describes the creation of a new AI\/ML tool for pathological diagnosis that allows the detection and classification of low-grade and high-grade pre-malignant lesions (LSIL\/HSIL) of the cervix. <\/p>\n\n<div class=\"wp-block-uagb-image uagb-block-32b560cc wp-block-uagb-image--layout-default wp-block-uagb-image--effect-static wp-block-uagb-image--align-none\"><figure class=\"wp-block-uagb-image__figure\"><img decoding=\"async\" srcset=\"https:\/\/impdiagnostics.com\/wp\/wp-content\/uploads\/2023\/03\/ARTIGO_Scientific-1024x420-1.jpg ,https:\/\/impdiagnostics.com\/wp\/wp-content\/uploads\/2023\/03\/ARTIGO_Scientific-1024x420-1.jpg 780w, https:\/\/impdiagnostics.com\/wp\/wp-content\/uploads\/2023\/03\/ARTIGO_Scientific-1024x420-1.jpg 360w\" sizes=\"auto, (max-width: 480px) 150px\" src=\"https:\/\/impdiagnostics.com\/wp\/wp-content\/uploads\/2023\/03\/ARTIGO_Scientific-1024x420-1.jpg\" alt=\"\" class=\"uag-image-9717\" width=\"1024\" height=\"420\" title=\"\" loading=\"lazy\"\/><\/figure><\/div>\n\n<p>The development of this algorithm was carried out on whole-slide images, unlike the usual cropped images, and based on 2000 slides, representing a unique dataset and an effective improvement in the clinical diagnostic process. <\/p>\n\n<p><strong>&#8220;A CAD system for automatic dysplasia grading on H&amp;E cervical whole-slide images&#8221; <\/strong> is the title of the new article published in the &#8220;Scientific Reports&#8221;. <\/p>\n\n<p>This is the latest scientific article published by the team that integrates IMP Diagnostics and INESC-TEC researchers. <\/p>\n\n<p>Access the Scientific Article <a href=\"https:\/\/www.nature.com\/articles\/s41598-023-30497-z\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cervical cancer is the 4th most common cancer in women (and the 4th leading cause [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":9715,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[],"tags":[105,108],"class_list":["post-10701","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","tag-pathological-anatomy","tag-study"],"acf":[],"spectra_custom_meta":{"_pingme":["1"],"_encloseme":["1"],"adv-header-id-meta":[""],"stick-header-meta":[""],"ast-featured-img":["disabled"],"theme-transparent-header-meta":[""],"_wpml_media_duplicate":["0","0","0","0","0"],"_wpml_media_featured":["0","0","0","0","0"],"_top_nav_excluded":[""],"_cms_nav_minihome":[""],"_wp_page_template":["default"],"_wpml_media_has_media":["1"],"_last_translation_edit_mode":["translation-editor"],"_edit_last":["4"],"_edit_lock":["1710958867:4"],"_thumbnail_id":["9715"],"_genesis_title":["AI in Cervical Pathology Diagnosis published in the \"Scientific Reports\"."],"_genesis_description":["Cervical cancer is the 4th most common cancer in women (and the 4th leading cause of cancer death in women) globally. The research work conducted contributes to a more efficient detection of pre-malignant intraepithelial lesions. 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