1.0Caroline Petitjeanhttps://pagesperso.litislab.fr/cpetitjeanrich600338<blockquote class="wp-embedded-content" data-secret="onmHvMGAoI"><a href="https://pagesperso.litislab.fr/cpetitjean/recherche/projects-2/">Projects</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://pagesperso.litislab.fr/cpetitjean/recherche/projects-2/embed/#?secret=onmHvMGAoI" width="600" height="338" title="« Projects » — Caroline Petitjean" data-secret="onmHvMGAoI" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://pagesperso.litislab.fr/cpetitjean/wp-includes/js/wp-embed.min.js </script> Projects as PI PI of MEDISeg: ANR funded project (2021-25) with LITIS, LMI (INSA de Rouen) and ImVIA (Université de Bourgogne) The automatic segmentation of medical images plays an important role in diagnosis and therapy. Deep convolutional neural networks (CNN) represent the state of the art, but have limitations, particularly on the plausibility of the … Continuer la lecture de →