{"id":"https://openalex.org/W4220741479","doi":"https://doi.org/10.1117/12.2609406","title":"Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis","display_name":"Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis","publication_year":2022,"publication_date":"2022-03-31","ids":{"openalex":"https://openalex.org/W4220741479","doi":"https://doi.org/10.1117/12.2609406"},"language":"en","primary_location":{"id":"doi:10.1117/12.2609406","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2609406","pdf_url":null,"source":{"id":"https://openalex.org/S4363607561","display_name":"Medical Imaging 2022: Image Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image Processing","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/A5066297261","display_name":"Ga\u0161per Podobnik","orcid":"https://orcid.org/0000-0002-4142-3304"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Ga\u0161per Podobnik","raw_affiliation_strings":["Univ. of Ljubljana (Slovenia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Ljubljana (Slovenia)","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040830331","display_name":"Primo\u017e Strojan","orcid":"https://orcid.org/0000-0002-0445-112X"},"institutions":[{"id":"https://openalex.org/I3019592416","display_name":"Institute of Oncology Ljubljana","ror":"https://ror.org/00y5zsg21","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3019592416"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Primo\u017e Strojan","raw_affiliation_strings":["Institute of Oncology Ljubljana (Slovenia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Oncology Ljubljana (Slovenia)","institution_ids":["https://openalex.org/I3019592416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070920536","display_name":"Primo\u017e Peterlin","orcid":"https://orcid.org/0000-0002-0057-5635"},"institutions":[{"id":"https://openalex.org/I3019592416","display_name":"Institute of Oncology Ljubljana","ror":"https://ror.org/00y5zsg21","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3019592416"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Primo\u017e Peterlin","raw_affiliation_strings":["Institute of Oncology Ljubljana (Slovenia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Oncology Ljubljana (Slovenia)","institution_ids":["https://openalex.org/I3019592416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070871008","display_name":"Bulat Ibragimov","orcid":"https://orcid.org/0000-0001-7739-7788"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]},{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["DK","SI"],"is_corresponding":false,"raw_author_name":"Bulat Ibragimov","raw_affiliation_strings":["Univ. of Copenhagen (Denmark)","Univ. of Ljubljana (Slovenia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Copenhagen (Denmark)","institution_ids":["https://openalex.org/I124055696"]},{"raw_affiliation_string":"Univ. of Ljubljana (Slovenia)","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074167224","display_name":"Toma\u017e Vrtovec","orcid":"https://orcid.org/0000-0002-6625-0307"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Toma\u017e Vrtovec","raw_affiliation_strings":["Univ. of Ljubljana (Slovenia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Ljubljana (Slovenia)","institution_ids":["https://openalex.org/I153976015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02685765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11041","issue":null,"first_page":"56","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10307","display_name":"Head and Neck Cancer Studies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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/T10862","display_name":"AI in cancer detection","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6806980967521667},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6734820008277893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5575053691864014},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5361573100090027},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4780355393886566},{"id":"https://openalex.org/keywords/parotid-gland","display_name":"Parotid gland","score":0.4236564338207245},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1417461335659027},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08879157900810242}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6806980967521667},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6734820008277893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5575053691864014},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5361573100090027},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4780355393886566},{"id":"https://openalex.org/C2780395140","wikidata":"https://www.wikidata.org/wiki/Q691653","display_name":"Parotid gland","level":2,"score":0.4236564338207245},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1417461335659027},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08879157900810242},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2609406","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2609406","pdf_url":null,"source":{"id":"https://openalex.org/S4363607561","display_name":"Medical Imaging 2022: Image Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/2d9d0013-69af-4fac-8eda-44455330646c","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/2d9d0013-69af-4fac-8eda-44455330646c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Podobnik , G , Strojan , P , Peterlin , P , Ibragimov , B & Vrtovec , T 2022 , Parotid gland segmentation with nnU-Net : deployment scenario and inter-observer variability analysis . in O Colliot , I Isgum , B A Landman & M H Loew (eds) , Medical Imaging 2022 : Image Processing . , 120321N , SPIE , Progress in Biomedical Optics and Imaging - Proceedings of SPIE , vol. 12032 , pp. 1-8 , Medical Imaging 2022: Image Processing , Virtual, Online , 21/03/2021 . https://doi.org/10.1117/12.2609406","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2103004421","https://openalex.org/W2108836663","https://openalex.org/W2194775991","https://openalex.org/W2301358467","https://openalex.org/W2593013519","https://openalex.org/W2889822862","https://openalex.org/W2895619167","https://openalex.org/W2921073881","https://openalex.org/W2946394741","https://openalex.org/W2975885948","https://openalex.org/W2982147221","https://openalex.org/W2986021933","https://openalex.org/W3006905011","https://openalex.org/W3014974815","https://openalex.org/W3092530369","https://openalex.org/W3094433228","https://openalex.org/W3098759101","https://openalex.org/W3112701542","https://openalex.org/W3120274550","https://openalex.org/W3152157423","https://openalex.org/W4233565867","https://openalex.org/W4237616275","https://openalex.org/W4243810992","https://openalex.org/W4246547789","https://openalex.org/W4253164322","https://openalex.org/W4287323011","https://openalex.org/W6639824700","https://openalex.org/W6675121608","https://openalex.org/W6727753214","https://openalex.org/W6754239853","https://openalex.org/W6755264628","https://openalex.org/W6755613800","https://openalex.org/W6791617037"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W3022067003"],"abstract_inverted_index":{"Head":[0],"and":[1,32,42,80,82,108,114,149,164],"neck":[2],"cancer":[3,11],"is":[4,20,39,50,197],"the":[5,13,65,88,98,111,118,125,133,138,141,144,159,194,201,206,209,216],"sixth":[6],"most":[7],"common":[8],"form":[9],"of":[10,48,67,140,161,191],"in":[12,34,205],"world":[14],"population.":[15],"A":[16],"commonly":[17],"used":[18],"treatment":[19],"radiotherapy,":[21],"which":[22,38],"requires":[23],"physicians":[24],"to":[25,53,117,215],"first":[26,99],"segment":[27],"organs":[28],"at":[29,87],"risk":[30],"(OARs)":[31],"tumors":[33],"computed":[35],"tomography":[36],"images,":[37],"a":[40,46,93,154,162],"laborious":[41],"time-consuming":[43],"process.":[44],"Therefore,":[45],"lot":[47],"research":[49],"being":[51],"done":[52],"develop":[54],"automatic":[55],"methods":[56],"for":[57,170],"OAR":[58],"segmentation.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"present":[64],"results":[66,142,203],"parotid":[68],"gland":[69],"segmentation":[70],"with":[71,128,143,153,200],"nnU-Net":[72,192],"using":[73],"data":[74,127],"from":[75,132],"two":[76],"public":[77],"datasets":[78,107,148],"(Head-Neck-Radiomics-HN1":[79],"PDDCA)":[81],"one":[83],"private":[84,112,134,172,222],"dataset":[85,196],"acquired":[86],"local":[89],"hospital.":[90],"To":[91],"simulate":[92],"possible":[94],"model":[95,100,120,157,179],"deployment":[96],"scenario,":[97],"was":[101,122],"trained":[102,123],"only":[103],"on":[104,110,124,181,193,198,220],"publicly":[105],"available":[106,169],"evaluated":[109],"dataset,":[113],"then":[115],"compared":[116,214],"second":[119],"that":[121,167],"same":[126],"additional":[129],"10":[130],"images":[131],"dataset.":[135,173,223],"We":[136],"enrich":[137],"interpretation":[139],"comparison":[145],"among":[146,150,178,186],"different":[147,182,187],"delineations":[151,160],"generated":[152],"deep":[155],"learning":[156],"against":[158],"junior":[163],"senior":[165],"expert":[166],"are":[168],"our":[171,221],"Significant":[174],"differences":[175],"were":[176],"observed":[177],"performance":[180,190],"datasets,":[183],"but":[184],"not":[185],"observers.":[188],"The":[189],"PDDCA":[195],"par":[199],"state-of-the-art":[202],"reported":[204],"literature.":[207],"Also,":[208],"method":[210],"performed":[211],"very":[212],"well":[213],"inter-observer":[217],"variability":[218],"calculated":[219]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
