{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:11:08Z","timestamp":1778602268192,"version":"3.51.4"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/icra.2019.8794122","type":"proceedings-article","created":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T01:26:12Z","timestamp":1565659572000},"page":"9821-9827","source":"Crossref","is-referenced-by-count":37,"title":["Surgical instrument segmentation for endoscopic vision with data fusion of cnn prediction and kinematic pose"],"prefix":"10.1109","author":[{"given":"Fangbo","family":"Qin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yangming","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun-Hsuan","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"De","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Blake","family":"Hannaford","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.350"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66185-8_75"},{"key":"ref12","first-page":"84","article-title":"Real-time segmentation of non-rigid surgical tools based on deep learning and tracking","author":"garcia-peraza-herrera","year":"2016","journal-title":"Proc Int Workshop Comput -Assisted Robot Endoscopy"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2017.8123151"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206462"},{"key":"ref15","article-title":"Transferring rich feature hierarchies for robust visual tracking","author":"wang","year":"2015","journal-title":"arXiv preprint arXiv 1501 04587"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2593957"},{"key":"ref17","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"arXiv preprint arXiv 1511 05271"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.019"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33418-4_73"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46720-7_51"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2833868"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TRA.2003.817058"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2228858"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2017.2771356"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989207"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2452907"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1117\/12.2292418"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907575"},{"key":"ref20","first-page":"175","article-title":"Marker-less articulated surgical tool detection","volume":"7","author":"reiter","year":"2012","journal-title":"Proc Comput Assist Radiol Surg"},{"key":"ref22","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISMR.2018.8333305"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/78.978374"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0152-6"},{"key":"ref25","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"}],"event":{"name":"2019 International Conference on Robotics and Automation (ICRA)","location":"Montreal, QC, Canada","start":{"date-parts":[[2019,5,20]]},"end":{"date-parts":[[2019,5,24]]}},"container-title":["2019 International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8780387\/8793254\/08794122.pdf?arnumber=8794122","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:13:11Z","timestamp":1657854791000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8794122\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icra.2019.8794122","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}