{"id":3371,"date":"2025-08-05T05:43:27","date_gmt":"2025-08-05T05:43:27","guid":{"rendered":"http:\/\/www.labren.org\/mm\/?p=3371"},"modified":"2025-08-05T10:41:25","modified_gmt":"2025-08-05T10:41:25","slug":"%f0%9f%8e%89-excited-to-share-that-our-paper-%f0%9d%90%82%f0%9d%90%a8%f0%9d%90%8f%f0%9d%90%84%f0%9d%90%92%f0%9d%90%83-%f0%9d%90%80-%f0%9d%90%8c%f0%9d%90%ae%f0%9d%90%a5%f0%9d%90%ad%f0%9d%90%a2","status":"publish","type":"post","link":"http:\/\/www.labren.org\/mm\/news\/%f0%9f%8e%89-excited-to-share-that-our-paper-%f0%9d%90%82%f0%9d%90%a8%f0%9d%90%8f%f0%9d%90%84%f0%9d%90%92%f0%9d%90%83-%f0%9d%90%80-%f0%9d%90%8c%f0%9d%90%ae%f0%9d%90%a5%f0%9d%90%ad%f0%9d%90%a2\/","title":{"rendered":"\ud83c\udf89 Excited\u00a0to share that our paper &#8220;\ud835\udc02\ud835\udc28\ud835\udc0f\ud835\udc04\ud835\udc12\ud835\udc03: \ud835\udc00 \ud835\udc0c\ud835\udc2e\ud835\udc25\ud835\udc2d\ud835\udc22-\ud835\udc0b\ud835\udc1e\ud835\udc2f\ud835\udc1e\ud835\udc25 \ud835\udc12\ud835\udc2e\ud835\udc2b\ud835\udc20\ud835\udc22\ud835\udc1c\ud835\udc1a\ud835\udc25 \ud835\udc0c\ud835\udc28\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27 \ud835\udc03\ud835\udc1a\ud835\udc2d\ud835\udc1a\ud835\udc2c\ud835\udc1e\ud835\udc2d \ud835\udc1f\ud835\udc28\ud835\udc2b \ud835\udc13\ud835\udc2b\ud835\udc1a\ud835\udc22\ud835\udc27\ud835\udc22\ud835\udc27\ud835\udc20 \ud835\udc0b\ud835\udc1a\ud835\udc2b\ud835\udc20\ud835\udc1e \ud835\udc15\ud835\udc22\ud835\udc2c\ud835\udc22\ud835\udc28\ud835\udc27-\ud835\udc0b\ud835\udc1a\ud835\udc27\ud835\udc20\ud835\udc2e\ud835\udc1a\ud835\udc20\ud835\udc1e \ud835\udc0c\ud835\udc28\ud835\udc1d\ud835\udc1e\ud835\udc25\ud835\udc2c \ud835\udc2d\ud835\udc28 \ud835\udc02\ud835\udc28-\ud835\udc0f\ud835\udc22\ud835\udc25\ud835\udc28\ud835\udc2d \ud835\udc04\ud835\udc27\ud835\udc1d\ud835\udc28\ud835\udc2c\ud835\udc1c\ud835\udc28\ud835\udc29\ud835\udc22\ud835\udc1c \ud835\udc12\ud835\udc2e\ud835\udc1b\ud835\udc26\ud835\udc2e\ud835\udc1c\ud835\udc28\ud835\udc2c\ud835\udc1a\ud835\udc25 \ud835\udc03\ud835\udc22\ud835\udc2c\ud835\udc2c\ud835\udc1e\ud835\udc1c\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27&#8221; has been accepted to \ud835\udc00\ud835\udc02\ud835\udc0c \ud835\udc0c\ud835\udc0c \ud835\udfd0\ud835\udfce\ud835\udfd0\ud835\udfd3 (\ud835\udc03\ud835\udc1a\ud835\udc2d\ud835\udc1a\ud835\udc2c\ud835\udc1e\ud835\udc2d \ud835\udc13\ud835\udc2b\ud835\udc1a\ud835\udc1c\ud835\udc24)!"},"content":{"rendered":"\n<p>We built \ud835\udc02\ud835\udc28\ud835\udc0f\ud835\udc04\ud835\udc12\ud835\udc03 to help AI better understand surgical workflows\u2014especially the complex motions involved in \ud835\udc04\ud835\udc27\ud835\udc1d\ud835\udc28\ud835\udc2c\ud835\udc1c\ud835\udc28\ud835\udc29\ud835\udc22\ud835\udc1c \ud835\udc12\ud835\udc2e\ud835\udc1b\ud835\udc26\ud835\udc2e\ud835\udc1c\ud835\udc28\ud835\udc2c\ud835\udc1a\ud835\udc25 \ud835\udc03\ud835\udc22\ud835\udc2c\ud835\udc2c\ud835\udc1e\ud835\udc1c\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27 (\ud835\udc04\ud835\udc12\ud835\udc03). The dataset includes:<\/p>\n\n\n\n<p>\ud83d\udcf9 35+ hours of annotated surgical videos<\/p>\n\n\n\n<p>\ud83d\uddbc\ufe0f 17,679 labeled frames<\/p>\n\n\n\n<p>\ud83d\udd0d 88,395 motion annotations across multiple levels<\/p>\n\n\n\n<p>We designed a hierarchical annotation scheme to capture fine-grained surgical motions, especially focusing on the submucosal dissection phase. Our goal is to enable \ud835\udc2f\ud835\udc22\ud835\udc2c\ud835\udc22\ud835\udc28\ud835\udc27-\ud835\udc25\ud835\udc1a\ud835\udc27\ud835\udc20\ud835\udc2e\ud835\udc1a\ud835\udc20\ud835\udc1e \ud835\udc26\ud835\udc28\ud835\udc1d\ud835\udc1e\ud835\udc25\ud835\udc2c that can one day assist surgeons in real-time\u2014like a smart co-pilot in the OR.<\/p>\n\n\n\n<p>Thanks to all collaborators (<a href=\"https:\/\/www.linkedin.com\/company\/103371608\/admin\/page-posts\/published\/#\">Guankun Wang<\/a>, Han Xiao, <a href=\"https:\/\/www.linkedin.com\/company\/103371608\/admin\/page-posts\/published\/#\">Huxin Gao<\/a>, <a href=\"https:\/\/www.linkedin.com\/company\/103371608\/admin\/page-posts\/published\/#\">Renrui Zhang<\/a>, <a href=\"https:\/\/www.linkedin.com\/company\/103371608\/admin\/page-posts\/published\/#\">Long Bai<\/a>, Xiaoxiao Yang, Zhen Li, <a href=\"https:\/\/www.linkedin.com\/company\/103371608\/admin\/page-posts\/published\/#\">Hongsheng Li<\/a>,<\/p>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/company\/103371608\/admin\/page-posts\/published\/#\">Hongliang Ren<\/a>) and institutions (CUHK, Shanghai AI Lab, Qilu Hospital of SDU) involved. We\u2019re excited to see how this dataset can push forward research in \ud835\udc2c\ud835\udc2e\ud835\udc2b\ud835\udc20\ud835\udc22\ud835\udc1c\ud835\udc1a\ud835\udc25 \ud835\udc00\ud835\udc08, \ud835\udc2b\ud835\udc28\ud835\udc1b\ud835\udc28\ud835\udc2d\ud835\udc22\ud835\udc1c\ud835\udc2c, and \ud835\udc26\ud835\udc2e\ud835\udc25\ud835\udc2d\ud835\udc22\ud835\udc26\ud835\udc28\ud835\udc1d\ud835\udc1a\ud835\udc25 \ud835\udc25\ud835\udc1e\ud835\udc1a\ud835\udc2b\ud835\udc27\ud835\udc22\ud835\udc27\ud835\udc20.<\/p>\n\n\n\n<p>\ud83d\udcc4 Check out the paper: https:\/\/lnkd.in\/gkF6A4QY<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D5622AQF3Klrjxe825Q\/feedshare-shrink_800\/B56Zhz2HB4HkAg-\/0\/1754290222291?e=1757548800&amp;v=beta&amp;t=U8XDl9wS6qdsfLm-3_PmAXxC0HJjGSpaBkIS_0ZQ774\" alt=\"No alternative text description for this image\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D5622AQEYs8s7OPLeJQ\/feedshare-shrink_800\/B56Zhz2G.2HkAg-\/0\/1754290221993?e=1757548800&amp;v=beta&amp;t=fG-o26qHqCIaUY5natf70mQJd95Brrwb6y-YpLUqhyY\" alt=\"No alternative text description for this image\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D5622AQE2cXMl_ODP3A\/feedshare-shrink_800\/B56Zhz2G.iHMAk-\/0\/1754290221820?e=1757548800&amp;v=beta&amp;t=xPOFWmmLagYYbf699Ksbi7gMS0cunp7SzZnRq2TQ6xs\" alt=\"No alternative text description for this image\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>We built \ud835\udc02\ud835\udc28\ud835\udc0f\ud835\udc04\ud835\udc12\ud835\udc03 to help AI better understand surgical workflows\u2014especially the complex motions involved in \ud835\udc04\ud835\udc27\ud835\udc1d\ud835\udc28\ud835\udc2c\ud835\udc1c\ud835\udc28\ud835\udc29\ud835\udc22\ud835\udc1c \ud835\udc12\ud835\udc2e\ud835\udc1b\ud835\udc26\ud835\udc2e\ud835\udc1c\ud835\udc28\ud835\udc2c\ud835\udc1a\ud835\udc25 \ud835\udc03\ud835\udc22\ud835\udc2c\ud835\udc2c\ud835\udc1e\ud835\udc1c\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27 (\ud835\udc04\ud835\udc12\ud835\udc03). The dataset includes: \ud83d\udcf9 35+ hours of annotated surgical videos \ud83d\uddbc\ufe0f 17,679 labeled frames \ud83d\udd0d 88,395 motion annotations across multiple levels We designed a hierarchical annotation scheme to capture fine-grained surgical\u2026 <a class=\"continue-reading-link\" href=\"http:\/\/www.labren.org\/mm\/news\/%f0%9f%8e%89-excited-to-share-that-our-paper-%f0%9d%90%82%f0%9d%90%a8%f0%9d%90%8f%f0%9d%90%84%f0%9d%90%92%f0%9d%90%83-%f0%9d%90%80-%f0%9d%90%8c%f0%9d%90%ae%f0%9d%90%a5%f0%9d%90%ad%f0%9d%90%a2\/\">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-3371","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/3371","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=3371"}],"version-history":[{"count":1,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/3371\/revisions"}],"predecessor-version":[{"id":3372,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/3371\/revisions\/3372"}],"wp:attachment":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/media?parent=3371"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/categories?post=3371"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/tags?post=3371"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}