{"id":2777,"date":"2021-01-05T11:39:25","date_gmt":"2021-01-05T11:39:25","guid":{"rendered":"http:\/\/blogs.kent.ac.uk\/eda-news\/?p=2777"},"modified":"2021-01-05T11:39:25","modified_gmt":"2021-01-05T11:39:25","slug":"eda-researchers-publish-on-a-crowdsourcing-semi-automatic-image-segmentation-platform-for-cell-biology","status":"publish","type":"post","link":"https:\/\/blogs.kent.ac.uk\/engineering-news\/2021\/01\/05\/eda-researchers-publish-on-a-crowdsourcing-semi-automatic-image-segmentation-platform-for-cell-biology\/","title":{"rendered":"EDA Researchers publish on: &#8216;A crowdsourcing semi-automatic image segmentation platform for cell biology&#8217;"},"content":{"rendered":"<p>Researchers at the <a href=\"https:\/\/www.kent.ac.uk\/engineering-digital-arts\">School of Engineering and Digital Arts<\/a>, together with colleagues in the <a href=\"https:\/\/www.kent.ac.uk\/biosciences\">School of Biosciences<\/a> have published an article entitled &#8216;<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0010482520305357\">A crowdsourcing semi-automatic image segmentation platform for cell biology<\/a>&#8216; in the journal <a href=\"https:\/\/www.journals.elsevier.com\/computers-in-biology-and-medicine\/\"><em>Computers in Biology and Medicine<\/em><\/a>.<\/p>\n<p>The article was written by EDA researchers <a href=\"https:\/\/www.kent.ac.uk\/engineering-digital-arts\/people\/970\/mirzaee-bafti-s\">Saber Mirzaee Baftia<\/a>, <a href=\"https:\/\/www.kent.ac.uk\/engineering-digital-arts\/people\/622\/www.kent.ac.uk\/computing\/people\/622\/ang-chee-siang-jim\">Dr Chee Siang Ang<\/a>, <a href=\"https:\/\/www.kent.ac.uk\/engineering-digital-arts\/people\/673\/hossain-md-moinul\">Dr Md. Moinul Hossaina<\/a>, and <a href=\"https:\/\/www.kent.ac.uk\/engineering-digital-arts\/people\/728\/marcelli-gianluca\">Dr Gianluca Marcelli<\/a>, together with School of Biosciences colleagues Marc Alemany-Fornes, and <a href=\"https:\/\/www.kent.ac.uk\/biosciences\/people\/653\/tsaousis-anastasios\">Dr Anastasios D.Tsaousis<\/a>.<\/p>\n<p>State-of-the-art computer-vision algorithms rely on big and accurately annotated data, which are expensive, laborious and time-consuming to generate. This task is even more challenging when it comes to microbiological images, because they require specialized expertise for accurate annotation. Previous studies show that crowdsourcing and assistive-annotation tools are two potential solutions to address this challenge. In this work, the researchers have developed a web-based platform to enable crowdsourcing annotation of image data; the platform is powered by a semi-automated assistive tool to support non-expert annotators to improve the annotation efficiency. The behavior of annotators with and without the assistive tool is analyzed, using biological images of different complexity. More specifically, non-experts have been asked to use the platform to annotate microbiological images of gut parasites, which are compared with annotations by experts. A quantitative evaluation is carried out on the results, confirming that the assistive tools can noticeably decrease the non-expert annotation\u2019s cost (time, click, interaction, etc.) while preserving or even improving the annotation\u2019s quality. The annotation quality of non-experts has been investigated using IOU (intersection of union), precision and recall; based on this analysis we propose some ideas on how to better design similar crowdsourcing and assistive platforms.<\/p>\n<p>The full article is available to read online on Science Direct, here:<br \/>\n<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0010482520305357\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0010482520305357<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers at the School of Engineering and Digital Arts, together with colleagues in the School of Biosciences have published an article entitled &#8216;A crowdsourcing semi-automatic &hellip; <a href=\"https:\/\/blogs.kent.ac.uk\/engineering-news\/2021\/01\/05\/eda-researchers-publish-on-a-crowdsourcing-semi-automatic-image-segmentation-platform-for-cell-biology\/\">Read&nbsp;more<\/a><\/p>\n","protected":false},"author":55813,"featured_media":2779,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[228805,124,70],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/posts\/2777"}],"collection":[{"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/users\/55813"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/comments?post=2777"}],"version-history":[{"count":2,"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/posts\/2777\/revisions"}],"predecessor-version":[{"id":2780,"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/posts\/2777\/revisions\/2780"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/media\/2779"}],"wp:attachment":[{"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/media?parent=2777"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/categories?post=2777"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/engineering-news\/wp-json\/wp\/v2\/tags?post=2777"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}