{"id":3331,"date":"2025-08-05T05:22:33","date_gmt":"2025-08-05T05:22:33","guid":{"rendered":"http:\/\/www.labren.org\/mm\/?p=3331"},"modified":"2025-08-05T10:41:26","modified_gmt":"2025-08-05T10:41:26","slug":"%f0%9f%93%a2-we-are-pleased-to-share-our-recent-work-on-advancing-surgical-guidance-and-automation-for-robot-assisted-endoscopic-submucosal-dissection-esd-both-studies-emphasize-collaboration-betwe","status":"publish","type":"post","link":"http:\/\/www.labren.org\/mm\/news\/%f0%9f%93%a2-we-are-pleased-to-share-our-recent-work-on-advancing-surgical-guidance-and-automation-for-robot-assisted-endoscopic-submucosal-dissection-esd-both-studies-emphasize-collaboration-betwe\/","title":{"rendered":"\ud83d\udce2 We are pleased to share our recent work on advancing surgical guidance and automation for Robot-Assisted Endoscopic Submucosal Dissection (ESD). Both studies emphasize collaboration between clinicians and AI, aiming to improve surgical efficiency and reduce human error."},"content":{"rendered":"\n

1\ufe0f\u20e3 #ICRA2025<\/strong> – “ETSM: Automating Dissection Trajectory Suggestion and Confidence Map-Based Safety Margin Prediction for Robot-assisted Endoscopic Submucosal Dissection”<\/p>\n\n\n\n

This work introduces a framework for predicting optimal dissection trajectories while integrating a confidence map-based safety margin to minimize risks like tissue perforation.<\/p>\n\n\n\n

\ud83d\ude80 Key contributions:<\/p>\n\n\n\n

– A novel dataset (ETSM), featuring over 1,800 annotated clips from robotic ESD procedures.<\/p>\n\n\n\n

– The RCMNet model, which uses regression to predict confidence maps, guiding surgeons toward safer dissection zones.<\/p>\n\n\n\n

– Outperformed baselines with a mean absolute error of 3.18, demonstrating robust performance even under visual challenges.<\/p>\n\n\n\n

Authors: Mengya Xu<\/a>, Wenjin Mo, Guankun Wang, Huxin Gao<\/a>, An Wang<\/a>, Long Bai<\/a>, Chaoyang Lyu, Xiaoxiao Yang, Zhen Li, and Hongliang Ren<\/a><\/p>\n\n\n\n

\ud83d\udcdaPaper link: https:\/\/lnkd.in\/gUdr6XQc<\/p>\n\n\n\n

2\ufe0f\u20e3 #IPCAI2025<\/strong> – “PDZSeg: Adapting the Foundation Model for Dissection Zone Segmentation with Visual Prompts in Robot-assisted Endoscopic Submucosal Dissection”<\/p>\n\n\n\n

This paper adapts foundation models to enable region-specific dissection zone segmentation using flexible visual prompts (e.g., scribbles, bounding boxes).<\/p>\n\n\n\n

\ud83d\ude80 Key insights:<\/p>\n\n\n\n

– A novel ESD-DZSeg dataset tailored for prompt-based segmentation tasks.<\/p>\n\n\n\n

– Fine-tuned the foundation model DINOv2 with LoRA for efficient adaptation to surgical tasks. Achieved state-of-the-art accuracy, with long scribble prompts yielding a mean Intersection over Union (IoU) of 74.06%.<\/p>\n\n\n\n

– Empowers surgeons to intuitively refine segmentation through natural visual cues, enhancing real-time decision support.<\/p>\n\n\n\n

Authors: Mengya Xu<\/a>, Wenjin Mo, Guankun Wang, Huxin Gao<\/a>, An Wang<\/a>, Zhen Li, Xiaoxiao Yang and Hongliang Ren<\/a><\/p>\n\n\n\n

\ud83d\udcdaPaper link: https:\/\/lnkd.in\/ggUM-5Zc<\/p>\n\n\n\n

\"No<\/figure>\n\n\n\n
\"No<\/figure>\n","protected":false},"excerpt":{"rendered":"

1\ufe0f\u20e3 #ICRA2025 – “ETSM: Automating Dissection Trajectory Suggestion and Confidence Map-Based Safety Margin Prediction for Robot-assisted Endoscopic Submucosal Dissection” This work introduces a framework for predicting optimal dissection trajectories while integrating a confidence map-based safety margin to minimize risks like tissue perforation. \ud83d\ude80 Key contributions: – A novel dataset (ETSM),\u2026 Continue reading<\/a><\/p>\n","protected":false},"author":17,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-3331","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/3331","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/comments?post=3331"}],"version-history":[{"count":1,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/3331\/revisions"}],"predecessor-version":[{"id":3332,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/3331\/revisions\/3332"}],"wp:attachment":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/media?parent=3331"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/categories?post=3331"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/tags?post=3331"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}