{"id":"https://openalex.org/W2789763686","doi":"https://doi.org/10.1117/12.2292418","title":"Towards robust needle segmentation and tracking in pediatric endoscopic surgery","display_name":"Towards robust needle segmentation and tracking in pediatric endoscopic surgery","publication_year":2018,"publication_date":"2018-03-13","ids":{"openalex":"https://openalex.org/W2789763686","doi":"https://doi.org/10.1117/12.2292418","mag":"2789763686"},"language":"en","primary_location":{"id":"doi:10.1117/12.2292418","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2292418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101924412","display_name":"Yujun Chen","orcid":"https://orcid.org/0000-0002-0158-8630"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yujun Chen","raw_affiliation_strings":["Rice Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice Univ. (United States)","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037993416","display_name":"Murilo M. Marinho","orcid":"https://orcid.org/0000-0003-2795-9484"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Murilo M. Marinho","raw_affiliation_strings":["Univ. of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052689081","display_name":"Atsushi Nakazawa","orcid":"https://orcid.org/0000-0002-9331-9277"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Nakazawa","raw_affiliation_strings":["Univ. of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006535917","display_name":"Kyoichi Deie","orcid":"https://orcid.org/0000-0003-0446-047X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kyoichi Deie","raw_affiliation_strings":["Univ. of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101508776","display_name":"Kanako Harada","orcid":"https://orcid.org/0000-0002-0221-7890"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kanako Harada","raw_affiliation_strings":["Univ. of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030659108","display_name":"Mamoru Mitsuishi","orcid":"https://orcid.org/0000-0002-0354-1246"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mamoru Mitsuishi","raw_affiliation_strings":["Univ. of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033851840","display_name":"Yusuke Kurose","orcid":"https://orcid.org/0000-0002-9763-7483"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Kurose","raw_affiliation_strings":["Univ. of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9842000007629395,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9818000197410583,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7603412866592407},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7136136889457703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7030280828475952},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6561216115951538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6198423504829407},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5903018712997437}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7603412866592407},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7136136889457703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7030280828475952},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6561216115951538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6198423504829407},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5903018712997437},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2292418","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2292418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/64d5efdb-cdb2-4d78-91a2-78b0f9a63edf","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/64d5efdb-cdb2-4d78-91a2-78b0f9a63edf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1994107103","https://openalex.org/W1996863251","https://openalex.org/W2011910675","https://openalex.org/W2065042868","https://openalex.org/W2101199297","https://openalex.org/W2550013642","https://openalex.org/W2563168016","https://openalex.org/W4252574419","https://openalex.org/W6649416506"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W2170022336"],"abstract_inverted_index":{"Neonatal":[0],"tracheoesophageal":[1],"fistula":[2],"surgery":[3],"poses":[4],"technical":[5],"challenges":[6],"to":[7,28,31,125,218],"surgeons,":[8],"given":[9],"the":[10,48,71,88,101,105,136,151,193,199,209,220,224],"limited":[11],"workspace":[12],"and":[13,52,81,116,143,150,186],"fragile":[14],"tissues.":[15],"In":[16,70],"previous":[17],"studies":[18],"from":[19],"our":[20],"collaborators,":[21],"a":[22,61,67,97,127,158,215],"neonatal":[23],"chest":[24],"model":[25,49],"was":[26],"developed":[27],"allow":[29],"surgeons":[30],"enhance":[32],"their":[33],"performance,":[34],"such":[35],"as":[36,123],"suturing":[37],"ability,":[38],"before":[39],"conducting":[40],"actual":[41],"surgery.":[42],"Endoscopic":[43],"images":[44],"are":[45,74,121,133],"recorded":[46],"while":[47],"is":[50,66,96,204,212],"used,":[51],"surgeon":[53],"skill":[54],"can":[55],"be":[56,85,91],"manually":[57],"assessed":[58],"by":[59,177,187],"using":[60,164,169],"29-point":[62],"checklist.":[63],"However,":[64],"that":[65,77,83,168],"time-consuming":[68],"process.":[69],"checklist,":[72],"there":[73],"15":[75],"points":[76],"regard":[78],"needle":[79,89,174],"position":[80],"angle":[82],"could":[84,90],"automatized":[86],"if":[87],"efficiently":[92],"tracked.":[93],"This":[94],"paper":[95],"first":[98],"step":[99,211],"towards":[100],"goal":[102],"of":[103,153,202,223],"tracking":[104],"needle.":[106,225],"Pixel":[107],"HSV":[108],"color":[109,113],"space":[110,114],"channels,":[111,115],"opponent":[112],"pixel":[117,140,142,184],"oriented":[118],"gradient":[119],"information":[120],"used":[122],"features":[124,152],"train":[126],"random":[128],"forest":[129],"model.":[130],"Three":[131],"methods":[132],"compared":[134],"in":[135,157,208],"segmentation":[137,175,210],"stage:":[138],"single":[139,183],"features,":[141,149],"its":[144],"immediate":[145,194],"10-by-10":[146],"square":[147,195],"window":[148,196],"randomly":[154,170],"offset":[155,171],"pixels":[156,172],"larger":[159],"169-by-169":[160],"window.":[161],"Our":[162],"analysis":[163],"9-fold":[165],"cross-validation":[166],"shows":[167],"increases":[173],"f-measure":[176],"385":[178],"times":[179,189],"when":[180,190],"comparing":[181,191],"with":[182,192],"color,":[185],"3":[188],"even":[197],"though":[198],"same":[200],"amount":[201],"memory":[203],"used.":[205],"The":[206],"output":[207],"fed":[213],"into":[214],"particle":[216],"filter":[217],"track":[219],"full":[221],"state":[222]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
