{"id":"https://openalex.org/W2591648046","doi":"https://doi.org/10.1117/12.2254437","title":"Multi-atlas spleen segmentation on CT using adaptive context learning","display_name":"Multi-atlas spleen segmentation on CT using adaptive context learning","publication_year":2017,"publication_date":"2017-02-24","ids":{"openalex":"https://openalex.org/W2591648046","doi":"https://doi.org/10.1117/12.2254437","mag":"2591648046","pmid":"https://pubmed.ncbi.nlm.nih.gov/28736468"},"language":"en","primary_location":{"id":"doi:10.1117/12.2254437","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2254437","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100390349","display_name":"Jiaqi Liu","orcid":"https://orcid.org/0000-0001-5595-5988"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiaqi Liu","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067191302","display_name":"Yuankai Huo","orcid":"https://orcid.org/0000-0002-2096-8065"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuankai Huo","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004320806","display_name":"Zhoubing Xu","orcid":"https://orcid.org/0000-0002-8777-0977"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhoubing Xu","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109421874","display_name":"Albert Assad","orcid":null},"institutions":[{"id":"https://openalex.org/I924451375","display_name":"Incyte (United States)","ror":"https://ror.org/00cvzzg84","country_code":"US","type":"company","lineage":["https://openalex.org/I924451375"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Albert Assad","raw_affiliation_strings":["Incyte Corp. (United States)"],"affiliations":[{"raw_affiliation_string":"Incyte Corp. (United States)","institution_ids":["https://openalex.org/I924451375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065429893","display_name":"Richard G. Abramson","orcid":"https://orcid.org/0000-0002-1200-0281"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard G. Abramson","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075735203","display_name":"Bennett A. Landman","orcid":"https://orcid.org/0000-0001-5733-2127"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bennett A. Landman","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100390349"],"corresponding_institution_ids":["https://openalex.org/I200719446"],"apc_list":null,"apc_paid":null,"fwci":2.3535,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8770487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10133","issue":null,"first_page":"1013309","last_page":"1013309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12296","display_name":"Autopsy Techniques and Outcomes","score":0.9887999892234802,"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/T12296","display_name":"Autopsy Techniques and Outcomes","score":0.9887999892234802,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9559000134468079,"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"}},{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9204999804496765,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7785532474517822},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.7592518925666809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7164533138275146},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.695000946521759},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.643576979637146},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5558840036392212},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4949797987937927},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.4604770243167877},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44013530015945435},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4375230669975281}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7785532474517822},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.7592518925666809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164533138275146},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.695000946521759},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.643576979637146},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5558840036392212},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4949797987937927},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.4604770243167877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44013530015945435},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4375230669975281},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2254437","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2254437","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmid:28736468","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28736468","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of SPIE--the International Society for Optical Engineering","raw_type":null},{"id":"pmh:oai:europepmc.org:4363069","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5521267","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W29951291","https://openalex.org/W251803591","https://openalex.org/W1680164276","https://openalex.org/W1884695109","https://openalex.org/W1974842966","https://openalex.org/W1981576742","https://openalex.org/W1990109229","https://openalex.org/W1994687768","https://openalex.org/W2000585255","https://openalex.org/W2008816257","https://openalex.org/W2012902854","https://openalex.org/W2050542229","https://openalex.org/W2052788412","https://openalex.org/W2053588653","https://openalex.org/W2081439668","https://openalex.org/W2095700415","https://openalex.org/W2107956652","https://openalex.org/W2115560616","https://openalex.org/W2127567384","https://openalex.org/W2135513683","https://openalex.org/W2140067226","https://openalex.org/W2148157540","https://openalex.org/W2154105292","https://openalex.org/W2169846542","https://openalex.org/W2170187799","https://openalex.org/W2294233313","https://openalex.org/W6609445593","https://openalex.org/W6647905348","https://openalex.org/W6649221553","https://openalex.org/W6653333996"],"related_works":["https://openalex.org/W2314146950","https://openalex.org/W2011187995","https://openalex.org/W2373521488","https://openalex.org/W2324878645","https://openalex.org/W2803101231","https://openalex.org/W4284509","https://openalex.org/W4393084406","https://openalex.org/W606911313","https://openalex.org/W4229506690","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Automatic":[0],"spleen":[1,26,181,240],"segmentation":[2,15],"on":[3,148],"CT":[4,39],"is":[5,161,188],"challenging":[6],"due":[7],"to":[8,19,24,123,185,196,204,210,215,221,237],"the":[9,31,36,41,73,80,88,95,125,131,135,149,154,165,170,233],"complexity":[10],"of":[11,130,180,194,200],"abdominal":[12,38],"structures.":[13],"Multi-atlas":[14],"(MAS)":[16],"has":[17],"shown":[18],"be":[20],"a":[21,59,63,67,76,84,173,177,192],"promising":[22],"approach":[23],"conduct":[25],"segmentation.":[27],"To":[28,168],"deal":[29],"with":[30,134,176,202],"substantial":[32],"registration":[33],"errors":[34],"between":[35,151],"heterogeneous":[37,90,174],"images,":[40],"context":[42,55,119],"learning":[43,56,120],"method":[44,50,57],"for":[45,62,138,246],"performance":[46],"level":[47],"estimation":[48],"(CLSIMPLE)":[49],"was":[51],"previously":[52],"proposed.":[53],"The":[54],"generates":[58],"probability":[60],"map":[61],"target":[64,104,140,155,166,248],"image":[65],"using":[66,109,128,157],"Gaussian":[68],"mixture":[69],"model":[70],"(GMM)":[71],"as":[72,207,212,218,224,230],"prior":[74,98],"in":[75],"Bayesian":[77],"framework.":[78],"However,":[79],"CLSSIMPLE":[81],"typically":[82],"trains":[83],"single":[85],"GMM":[86,117,126],"from":[87,164],"entire":[89],"training":[91,111,132,243],"atlas":[92],"set.":[93],"Therefore,":[94],"estimated":[96],"spatial":[97],"maps":[99],"might":[100],"not":[101],"represent":[102],"specific":[103],"images":[105,156],"accurately.":[106],"Rather":[107],"than":[108],"all":[110],"atlases,":[112],"we":[113],"propose":[114],"an":[115],"adaptive":[116],"based":[118,147],"technique":[121],"(AGMMCL)":[122],"train":[124],"adaptively":[127,146,245],"subsets":[129,136],"data":[133],"tailored":[137],"different":[139,247],"images.":[141,249],"Training":[142],"sets":[143],"are":[144],"selected":[145],"similarity":[150],"atlases":[152],"and":[153,226,228],"cranio-caudal":[158],"length,":[159],"which":[160],"derived":[162],"manually":[163],"image.":[167],"validate":[169],"proposed":[171],"method,":[172],"dataset":[175],"large":[178],"variation":[179],"sizes":[182],"(100":[183],"cc":[184,206,217,223],"9000":[186],"cc)":[187],"used.":[189],"We":[190],"designate":[191],"metric":[193],"size":[195],"differentiate":[197],"each":[198],"group":[199],"spleens,":[201],"0":[203],"100":[205],"small,":[208],"200":[209],"500cc":[211],"medium,":[213],"500":[214],"1000":[216,220],"large,":[219],"2000":[222,227],"XL,":[225],"above":[229],"XXL.":[231],"From":[232],"results,":[234],"AGMMCL":[235],"leads":[236],"more":[238],"accurate":[239],"segmentations":[241],"by":[242],"GMMs":[244]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}