{"id":"https://openalex.org/W3011243460","doi":"https://doi.org/10.1117/12.2549878","title":"Open-source platform for automated collection of training data to support video-based feedback in surgical simulators","display_name":"Open-source platform for automated collection of training data to support video-based feedback in surgical simulators","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3011243460","doi":"https://doi.org/10.1117/12.2549878","mag":"3011243460"},"language":"en","primary_location":{"id":"doi:10.1117/12.2549878","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079205132","display_name":"Jacob Laframboise","orcid":null},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jacob Laframboise","raw_affiliation_strings":["Lab. for Percutaneous Surgery, Queen's Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. for Percutaneous Surgery, Queen's Univ. (Canada)","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027063944","display_name":"Tam\u00e1s Ungi","orcid":"https://orcid.org/0000-0003-4743-0609"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tamas Ungi","raw_affiliation_strings":["Lab. for Percutaneous Surgery, Queen's Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. for Percutaneous Surgery, Queen's Univ. (Canada)","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042132208","display_name":"Kyle Sunderland","orcid":null},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kyle Sunderland","raw_affiliation_strings":["Lab. for Percutaneous Surgery, Queen's Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. for Percutaneous Surgery, Queen's Univ. (Canada)","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028691312","display_name":"Boris Zevin","orcid":"https://orcid.org/0000-0003-0316-8952"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Boris Zevin","raw_affiliation_strings":["Dept. of Surgery, Queen's Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Surgery, Queen's Univ. (Canada)","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084753910","display_name":"G\u00e1bor Fichtinger","orcid":"https://orcid.org/0000-0002-6354-262X"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gabor Fichtinger","raw_affiliation_strings":["Lab. for Percutaneous Surgery, Queen's Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. for Percutaneous Surgery, Queen's Univ. (Canada)","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03535418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11984","display_name":"Anatomy and Medical Technology","score":0.9452000260353088,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7666857242584229},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7299841046333313},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5154526829719543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5025041103363037},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4818767011165619},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46561694145202637},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.44339707493782043},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.35855329036712646},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14926159381866455},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11491376161575317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666857242584229},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7299841046333313},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5154526829719543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5025041103363037},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4818767011165619},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46561694145202637},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.44339707493782043},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.35855329036712646},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14926159381866455},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11491376161575317},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2549878","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W96612179","https://openalex.org/W2770234245","https://openalex.org/W2566006169","https://openalex.org/W2987774938","https://openalex.org/W632915154","https://openalex.org/W4229499248","https://openalex.org/W4378874356","https://openalex.org/W2055733372","https://openalex.org/W2369811061","https://openalex.org/W3089997100"],"abstract_inverted_index":{"Purpose:":[0],"Surgical":[1],"training":[2,197],"could":[3],"be":[4,190],"improved":[5],"by":[6],"automatic":[7,56,205],"detection":[8],"of":[9,15,32,41,75,85,139,162],"workflow":[10],"steps,":[11],"and":[12,22,25,60,67,89,111,154,185,199,208,226],"similar":[13],"applications":[14],"image":[16,33],"processing.":[17],"A":[18,147],"platform":[19,54,135,188,193],"to":[20,45,70,107,117,156,189,218],"collect":[21,71],"organize":[23],"tracking":[24,87,113],"video":[26,90,206],"data":[27,58,88,91,106,114,153,158,176,198],"would":[28],"enable":[29],"rapid":[30],"development":[31],"processing":[34,207],"solutions":[35],"for":[36,55,194],"surgical":[37],"training.":[38],"The":[39,124],"purpose":[40],"this":[42,105,152,167],"research":[43],"is":[44,115,121,126],"demonstrate":[46,96],"3D":[47,68,172,183],"Slicer":[48,69,131,173,184],"/":[49],"PLUS":[50,66,186],"Toolkit":[51,187],"as":[52],"a":[53,72,93,101,129,191,201,223],"labelled":[57,73,141,196],"collection":[59,138],"model":[61,168],"deployment.":[62],"Methods:":[63],"We":[64,180,212],"use":[65],"dataset":[74],"tools":[76],"interacting":[77],"with":[78,128,143,159,222],"tissues":[79],"in":[80,122,171],"simulated":[81],"hernia":[82],"repair,":[83],"comprised":[84],"optical":[86,209,227],"from":[92],"camera.":[94],"To":[95],"the":[97,112,137,182],"platform,":[98],"we":[99],"train":[100],"neural":[102],"network":[103],"on":[104,151,174],"automatically":[108],"identify":[109,118,219],"tissues,":[110],"used":[116],"what":[119],"tool":[120,210],"use.":[123],"solution":[125,202],"deployed":[127,170],"custom":[130],"module.":[132],"Results:":[133],"This":[134],"allowed":[136],"128,548":[140],"frames,":[142],"98.5%":[144],"correctly":[145],"labelled.":[146],"CNN":[148,225],"was":[149,169],"trained":[150,224],"applied":[155],"new":[157],"an":[160,214],"accuracy":[161],"98%.":[163],"With":[164],"minimal":[165],"code,":[166],"real-time":[175],"at":[177],"30fps.":[178],"Conclusion:":[179],"found":[181],"viable":[192],"collecting":[195],"deploying":[200],"that":[203],"combines":[204],"tracking.":[211,228],"designed":[213],"accurate":[215],"proof-of-concept":[216],"system":[217],"tissue-tool":[220],"interactions":[221]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}