{"id":"https://openalex.org/W4200614011","doi":"https://doi.org/10.1080/21681163.2021.2012835","title":"Depth estimation from single-shot monocular endoscope image using image domain adaptation and edge-aware depth estimation","display_name":"Depth estimation from single-shot monocular endoscope image using image domain adaptation and edge-aware depth estimation","publication_year":2021,"publication_date":"2021-12-21","ids":{"openalex":"https://openalex.org/W4200614011","doi":"https://doi.org/10.1080/21681163.2021.2012835"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2021.2012835","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2021.2012835","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2201.04485","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074920808","display_name":"Masahiro Oda","orcid":"https://orcid.org/0000-0001-7714-422X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masahiro Oda","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan","Information and Communications, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"Information and Communications, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086595860","display_name":"Hayato Itoh","orcid":"https://orcid.org/0000-0002-1410-1078"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hayato Itoh","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011509405","display_name":"Kiyohito Tanaka","orcid":"https://orcid.org/0000-0002-9189-1755"},"institutions":[{"id":"https://openalex.org/I4210127677","display_name":"Kyoto first Red Cross hospital","ror":"https://ror.org/0460s9920","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I2799517759","https://openalex.org/I4210127677"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyohito Tanaka","raw_affiliation_strings":["Department of Gastroenterology, Kyoto Second Red Cross Hospital, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Gastroenterology, Kyoto Second Red Cross Hospital, Kyoto, Japan","institution_ids":["https://openalex.org/I4210127677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090987014","display_name":"Hirotsugu Takabatake","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120001","display_name":"Sapporo Minami Hospital","ror":"https://ror.org/02nymy567","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210120001"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirotsugu Takabatake","raw_affiliation_strings":["Department of Respiratory Medicine, Sapporo-Minami-Sanjo Hospital, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Respiratory Medicine, Sapporo-Minami-Sanjo Hospital, Sapporo, Japan","institution_ids":["https://openalex.org/I4210120001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067647817","display_name":"Masaki Mori","orcid":"https://orcid.org/0000-0001-7632-3875"},"institutions":[{"id":"https://openalex.org/I4210121725","display_name":"Sapporo Kosei General Hospital","ror":"https://ror.org/029jhw134","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210121725"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Mori","raw_affiliation_strings":["Department of Respiratory Medicine, Sapporo-Kosei General Hospital, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Respiratory Medicine, Sapporo-Kosei General Hospital, Sapporo, Japan","institution_ids":["https://openalex.org/I4210121725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113077851","display_name":"Hiroshi Natori","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroshi Natori","raw_affiliation_strings":["Department of Respiratory Medicine, Keiwakai Nishioka Hospital, Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Respiratory Medicine, Keiwakai Nishioka Hospital, Sapporo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032527419","display_name":"Kensaku Mori","orcid":"https://orcid.org/0000-0002-0100-4797"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kensaku Mori","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan","Information and Communications, Nagoya University, Nagoya, Japan","Research Center for Medical Bigdata, National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"Information and Communications, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"Research Center for Medical Bigdata, National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074920808"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":1.2248,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81910707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"3","first_page":"266","last_page":"273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.996399998664856,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8158441185951233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7237240076065063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475801467895508},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6113638281822205},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5055313110351562},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.48422694206237793},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4696114659309387},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4389340877532959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35970190167427063}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8158441185951233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7237240076065063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475801467895508},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6113638281822205},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5055313110351562},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.48422694206237793},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4696114659309387},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4389340877532959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35970190167427063},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/21681163.2021.2012835","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2021.2012835","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2201.04485","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.04485","pdf_url":"https://arxiv.org/pdf/2201.04485","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2201.04485","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.04485","pdf_url":"https://arxiv.org/pdf/2201.04485","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3173621809","display_name":"Anatomical structure-driven endoscopic surgery assistance &#8211; toward contents-based surgical navigation","funder_award_id":"17H00867","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4162300505","display_name":"Development of endoscopic treatment assistance system based on relationship modeling between recognition and action","funder_award_id":"21K12723","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1966148227","https://openalex.org/W1991135461","https://openalex.org/W2043796649","https://openalex.org/W2075139145","https://openalex.org/W2148687996","https://openalex.org/W2154847188","https://openalex.org/W2243521877","https://openalex.org/W2266464013","https://openalex.org/W2502312327","https://openalex.org/W2520707372","https://openalex.org/W2593488799","https://openalex.org/W2612127639","https://openalex.org/W2614788194","https://openalex.org/W2751405240","https://openalex.org/W2803677059","https://openalex.org/W2810103738","https://openalex.org/W2892362405","https://openalex.org/W2905561397","https://openalex.org/W2939157633","https://openalex.org/W2949058227","https://openalex.org/W2950046465","https://openalex.org/W2952813711","https://openalex.org/W2962793481","https://openalex.org/W2962900571","https://openalex.org/W2963446712","https://openalex.org/W2963617879","https://openalex.org/W2963652593","https://openalex.org/W2964020152","https://openalex.org/W2964254721","https://openalex.org/W2968826970","https://openalex.org/W2980176422","https://openalex.org/W2989184872","https://openalex.org/W3099097979","https://openalex.org/W3100315469","https://openalex.org/W3103968743","https://openalex.org/W4289082871","https://openalex.org/W4321147355"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W4391621807","https://openalex.org/W200819717","https://openalex.org/W2032269556","https://openalex.org/W1991834176","https://openalex.org/W2944448661"],"abstract_inverted_index":{"We":[0,26,59,114,128],"propose":[1],"a":[2,7,28,81,103,116,165],"depth":[3,20,40,57,78,106,126,140,147,154,184],"estimation":[4,21,30],"method":[5,133],"from":[6,36,176],"single-shot":[8],"monocular":[9],"endoscopic":[10,66],"image":[11,67,101,107],"using":[12,22,80,134,164,181],"Lambertian":[13,33,61],"surface":[14,34,49,62],"translation":[15,35,63],"by":[16,79,180],"domain":[17],"adaptation":[18],"and":[19,39,44,72,102],"multi-scale":[23],"edge":[24,96,118],"loss.":[25],"employ":[27],"two-step":[29],"process":[31],"including":[32],"unpaired":[37],"data":[38],"estimation.":[41,127],"The":[42,138,169],"texture":[43,71],"specular":[45],"reflection":[46],"on":[47],"the":[48,54,77,87,90,94,123,131,145,152,173,182],"of":[50,56,89,93,125,161,172],"an":[51,65,99],"organ":[52],"reduce":[53],"accuracy":[55,124,171],"estimations.":[58],"apply":[60],"to":[64,68,121,144,156,178],"remove":[69],"these":[70],"reflections.":[73],"Then,":[74],"we":[75,150],"estimate":[76],"fully":[82],"convolutional":[83,166],"network":[84,174],"(FCN).":[85],"During":[86],"training":[88],"FCN,":[91],"improvement":[92],"object":[95],"similarity":[97],"between":[98],"estimated":[100,139,153,183],"ground":[104],"truth":[105],"is":[108],"important":[109],"for":[110],"getting":[111],"better":[112],"results.":[113],"introduced":[115],"muti-scale":[117],"loss":[119],"function":[120],"improve":[122],"quantitatively":[129],"evaluated":[130],"proposed":[132],"real":[135,146],"colonoscopic":[136,162],"images.":[137,185],"values":[141],"were":[142],"proportional":[143],"values.":[148],"Furthermore,":[149],"applied":[151],"images":[155,163],"automated":[157],"anatomical":[158],"location":[159],"identification":[160,170],"neural":[167],"network.":[168],"improved":[175],"69.2%":[177],"74.1%":[179]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-12-31T00:00:00"}
