{"id":27038,"date":"2023-09-29T12:32:42","date_gmt":"2023-09-29T12:32:42","guid":{"rendered":"https:\/\/www.preciouscloud.eu\/?page_id=27038"},"modified":"2023-09-29T13:33:46","modified_gmt":"2023-09-29T13:33:46","slug":"prostate-image-segmentation","status":"publish","type":"page","link":"https:\/\/www.preciouscloud.eu\/?page_id=27038","title":{"rendered":"Prostate image segmentation"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"27038\" class=\"elementor elementor-27038\">\n\t\t\t\t\t\t<div class=\"elementor-section elementor-top-section elementor-element elementor-element-9bfab02 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9bfab02\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\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-50 elementor-top-column elementor-element elementor-element-9303b96 layouts-column-align-inherit layouts-section-position-none\" data-id=\"9303b96\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"hf-elementor-layout elementor-element elementor-element-f795a5f elementor-widget elementor-widget-image\" data-id=\"f795a5f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.preciouscloud.eu\/wp-content\/uploads\/2023\/09\/zaridis.png\" title=\"zaridis\" alt=\"zaridis\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"hf-elementor-layout elementor-element elementor-element-023b22c elementor-widget elementor-widget-text-editor\" data-id=\"023b22c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b><i>[1] Zaridis, D.I., Mylona, E., Tachos, N.\u00a0et al.\u00a0Region-adaptive magnetic resonance image enhancement\u00a0<\/i><\/b><\/p><div><b><i>for improving CNN-based segmentation of the prostate and prostatic zones.\u00a0Sci Rep\u00a013, 714 (2023).<\/i><\/b><\/div><div><b><i><a href=\"https:\/\/doi.org\/10.1038\/s41598-023-27671-8\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/doi.org\/10.1038\/s41598-023-27671-8&amp;source=gmail&amp;ust=1696059493365000&amp;usg=AOvVaw0cTbiIZNHUb6-t8AdayBgS\">https:\/\/doi.org\/10.1038\/<wbr \/>s41598-023-27671-8<\/a><\/i><\/b><\/div>\t\t\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<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-c309c46 layouts-column-align-inherit layouts-section-position-none\" data-id=\"c309c46\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"hf-elementor-layout elementor-element elementor-element-6259c94 elementor-widget elementor-widget-section_title\" data-id=\"6259c94\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"section_title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t<div class=\"left iq-title-box iq-title-default iq-title-box-1\">\n\t\t<div class=\"iq-title-icon\">\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<h2 class=\"iq-title\" >\n\t\t\tProstate image segmentation\t\t<\/h2>\n\t\t\t<p class=\"iq-title-desc\">The field of medical imaging has recently witnessed substantial advancements in the application of deep learning techniques, with a particular focus on the segmentation of the prostate gland in magnetic resonance (MR) images. This development is of paramount importance for both diagnostic and therapeutic interventions, especially in the context of managing conditions like prostate cancer. While traditional segmentation algorithms have often yielded inconsistent results, primarily due to the inherent variability and complex structures of the prostate gland, convolutional neural networks (CNNs) have demonstrated exceptional capabilities in this domain. Utilizing large, annotated datasets, CNNs autonomously learn to distinguish features specific to prostate tissue, which translates into markedly improved segmentation performance compared to conventional methods. The intrinsic ability of deep learning algorithms to adaptively capture intricate spatial hierarchies in MR images contributes to their superior efficacy. Ongoing research continues to introduce increasingly sophisticated network architectures and specialized loss functions, which further refines the precision and reliability of prostate gland segmentation in MR imaging.<\/p>\t<\/div>\n    \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<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>[1] Zaridis, D.I., Mylona, E., Tachos, N.\u00a0et al.\u00a0Region-adaptive magnetic resonance image enhancement\u00a0 for improving CNN-based segmentation of the prostate and prostatic zones.\u00a0Sci Rep\u00a013, 714 (2023).https:\/\/doi.org\/10.1038\/s41598-023-27671-8 Prostate image segmentation The field of medical imaging has recently witnessed substantial advancements in the application of deep learning techniques, with a particular focus on the segmentation of the prostate [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-27038","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/pages\/27038","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=27038"}],"version-history":[{"count":8,"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/pages\/27038\/revisions"}],"predecessor-version":[{"id":27130,"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=\/wp\/v2\/pages\/27038\/revisions\/27130"}],"wp:attachment":[{"href":"https:\/\/www.preciouscloud.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=27038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}