{"id":2839,"date":"2022-07-07T18:48:28","date_gmt":"2022-07-07T13:18:28","guid":{"rendered":"https:\/\/martecksolutions.com\/blog\/?p=2839"},"modified":"2022-07-07T18:50:13","modified_gmt":"2022-07-07T13:20:13","slug":"semantic-segmentation-for-medical-image-single-class-2","status":"publish","type":"post","link":"https:\/\/martecksolutions.com\/blog\/?p=2839","title":{"rendered":"Semantic Segmentation for Medical Image \u2013 Single Class"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2839\" class=\"elementor elementor-2839\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3ca169f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3ca169f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fcd1c9b\" data-id=\"fcd1c9b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4f5cfb1 elementor-widget elementor-widget-text-editor\" data-id=\"4f5cfb1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.23.0 - 05-08-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>There are several techniques of image annotation used to establish the AI model through machine learning. Some of them include cuboid annotation, polygon annotation and bounding box. However, semantic segmentation is the best demonstrative technique that provides the detailed findings with illnesses segmented and categorised in an individual class.<\/p><p>Medical image segmentation aids to detect the pixels of lesions or organs from the medical images in the background like MRI images or CT, which is the most complex task when it comes to medical image analysis. However, it offers crucial details on the volumes and shapes of distinct organs detected in the radiology section. Semantic segmentation is primarily used for the images that fit into a single class to make them identifiable.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>There are several techniques of image annotation used to establish the AI model through machine learning. Some of them include cuboid annotation, polygon annotation and bounding box. However, semantic segmentation is the best demonstrative technique that provides the detailed findings with illnesses segmented and categorised in an individual class. Medical image segmentation aids to detect &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/martecksolutions.com\/blog\/?p=2839\"> <span class=\"screen-reader-text\">Semantic Segmentation for Medical Image \u2013 Single Class<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":2747,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","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":"","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":"","footnotes":""},"categories":[33,94,8,95,96,22],"tags":[27,12,26,97,24],"class_list":["post-2839","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-on-radiology","category-artificial-intelligence","category-image-annotation","category-marteck-solutions","category-martecksolutions","category-medical-annotation","tag-ai-ml","tag-image-annotation","tag-marteck-solutions","tag-martecksolutions","tag-medical-annotation"],"jetpack_featured_media_url":"https:\/\/martecksolutions.com\/blog\/wp-content\/uploads\/2022\/05\/AdobeStock_54940412-1-scaled.jpeg","uagb_featured_image_src":{"full":["https:\/\/martecksolutions.com\/blog\/wp-content\/uploads\/2022\/05\/AdobeStock_54940412-1-scaled.jpeg",2560,1707,false],"thumbnail":["https:\/\/martecksolutions.com\/blog\/wp-content\/uploads\/2022\/05\/AdobeStock_54940412-1-150x150.jpeg",150,150,true],"medium":["https:\/\/martecksolutions.com\/blog\/wp-content\/uploads\/2022\/05\/AdobeStock_54940412-1-300x200.jpeg",300,200,true],"medium_large":["https:\/\/martecksolutions.com\/blog\/wp-content\/uploads\/2022\/05\/AdobeStock_54940412-1-768x512.jpeg",768,512,true],"large":["https:\/\/martecksolutions.com\/blog\/wp-content\/uploads\/2022\/05\/AdobeStock_54940412-1-1024x683.jpeg",1024,683,true],"1536x1536":["https:\/\/martecksolutions.com\/blog\/wp-content\/uploads\/2022\/05\/AdobeStock_54940412-1-1536x1024.jpeg",1536,1024,true],"2048x2048":["https:\/\/martecksolutions.com\/blog\/wp-content\/uploads\/2022\/05\/AdobeStock_54940412-1-scaled.jpeg",2048,1366,false]},"uagb_author_info":{"display_name":"Rahul Paith","author_link":"https:\/\/martecksolutions.com\/blog\/?author=1"},"uagb_comment_info":0,"uagb_excerpt":"There are several techniques of image annotation used to establish the AI model through machine learning. Some of them include cuboid annotation, polygon annotation and bounding box. However, semantic segmentation is the best demonstrative technique that provides the detailed findings with illnesses segmented and categorised in an individual class. Medical image segmentation aids to detect&hellip;","_links":{"self":[{"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/2839","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2839"}],"version-history":[{"count":4,"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/2839\/revisions"}],"predecessor-version":[{"id":2843,"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/2839\/revisions\/2843"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=\/wp\/v2\/media\/2747"}],"wp:attachment":[{"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2839"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2839"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/martecksolutions.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2839"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}