{"id":"https://openalex.org/W4410295518","doi":"https://doi.org/10.1109/isbi60581.2025.10981085","title":"Enhancing Lung Segmentation Algorithms to Ensure Inclusion of Juxtapleural Nodules","display_name":"Enhancing Lung Segmentation Algorithms to Ensure Inclusion of Juxtapleural Nodules","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410295518","doi":"https://doi.org/10.1109/isbi60581.2025.10981085"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10981085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","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/A5067998904","display_name":"Luoting Zhuang","orcid":"https://orcid.org/0000-0002-3714-3174"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Luoting Zhuang","raw_affiliation_strings":["David Geffen School of Medicine at UCLA,Medical & Imaging Informatics,Department of Radiological Sciences,Los Angeles,CA"],"affiliations":[{"raw_affiliation_string":"David Geffen School of Medicine at UCLA,Medical & Imaging Informatics,Department of Radiological Sciences,Los Angeles,CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035025699","display_name":"Seyed Mohammad Hossein Tabatabaei","orcid":"https://orcid.org/0000-0002-7386-6695"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyed Mohammad Hossein Tabatabaei","raw_affiliation_strings":["David Geffen School of Medicine at UCLA,Medical & Imaging Informatics,Department of Radiological Sciences,Los Angeles,CA"],"affiliations":[{"raw_affiliation_string":"David Geffen School of Medicine at UCLA,Medical & Imaging Informatics,Department of Radiological Sciences,Los Angeles,CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075517217","display_name":"Ashley E. Prosper","orcid":"https://orcid.org/0000-0001-8615-5246"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashley E. Prosper","raw_affiliation_strings":["David Geffen School of Medicine at UCLA,Medical & Imaging Informatics,Department of Radiological Sciences,Los Angeles,CA"],"affiliations":[{"raw_affiliation_string":"David Geffen School of Medicine at UCLA,Medical & Imaging Informatics,Department of Radiological Sciences,Los Angeles,CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016291944","display_name":"William Hsu","orcid":"https://orcid.org/0000-0002-5168-070X"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Hsu","raw_affiliation_strings":["David Geffen School of Medicine at UCLA,Medical & Imaging Informatics,Department of Radiological Sciences,Los Angeles,CA"],"affiliations":[{"raw_affiliation_string":"David Geffen School of Medicine at UCLA,Medical & Imaging Informatics,Department of Radiological Sciences,Los Angeles,CA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067998904"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21473737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9708999991416931,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9631999731063843,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6274747252464294},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.567168653011322},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4691053032875061},{"id":"https://openalex.org/keywords/inclusion","display_name":"Inclusion (mineral)","score":0.4620510935783386},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4250926375389099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3958473801612854},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09496623277664185},{"id":"https://openalex.org/keywords/mineralogy","display_name":"Mineralogy","score":0.06490516662597656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6274747252464294},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.567168653011322},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4691053032875061},{"id":"https://openalex.org/C109359841","wikidata":"https://www.wikidata.org/wiki/Q728944","display_name":"Inclusion (mineral)","level":2,"score":0.4620510935783386},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4250926375389099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3958473801612854},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09496623277664185},{"id":"https://openalex.org/C199289684","wikidata":"https://www.wikidata.org/wiki/Q83353","display_name":"Mineralogy","level":1,"score":0.06490516662597656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10981085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W130099911","https://openalex.org/W1901129140","https://openalex.org/W1997709301","https://openalex.org/W2804546134","https://openalex.org/W2884813726","https://openalex.org/W3014974815","https://openalex.org/W3016970897","https://openalex.org/W3021898219","https://openalex.org/W3047502985","https://openalex.org/W3054666633","https://openalex.org/W3171849353","https://openalex.org/W3217183564","https://openalex.org/W4312804044","https://openalex.org/W4313156423","https://openalex.org/W4383218413","https://openalex.org/W4385968743","https://openalex.org/W4387473362","https://openalex.org/W6870839691"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W3185553570","https://openalex.org/W4409439182","https://openalex.org/W2155401483","https://openalex.org/W3045247719","https://openalex.org/W2102102835","https://openalex.org/W2757130632","https://openalex.org/W3185163327","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Computed":[0],"tomography":[1],"(CT)":[2],"is":[3,159,178],"pivotal":[4],"in":[5,11,21,88,104,130],"detecting":[6],"and":[7,74,109,115,137,141,174],"monitoring":[8],"pulmonary":[9],"nodules":[10],"lung":[12,25,89,145],"cancer":[13],"screening.":[14],"With":[15],"the":[16,50,63,67,71,76,79,105,157],"advancement":[17],"of":[18,62,78,86,107,144],"artificial":[19],"intelligence":[20],"medical":[22],"imaging,":[23],"accurate":[24,136],"segmentation":[26],"has":[27],"become":[28],"crucial":[29],"for":[30,134,168],"reliable":[31],"feature":[32],"extraction.":[33],"While":[34],"traditional":[35],"methods":[36],"lack":[37],"generalizability,":[38],"deep":[39,101],"learning":[40,102],"models":[41,103,123],"also":[42,149],"encounter":[43],"difficulties":[44],"including":[45],"juxtapleural":[46,108],"nodules.":[47],"To":[48],"overcome":[49],"challenge,":[51],"we":[52],"finetuned":[53],"a":[54,84],"3D":[55],"U-Net":[56],"by":[57,112,171],"randomly":[58],"masking":[59],"out":[60],"70%":[61],"images,":[64],"which":[65],"forces":[66],"model":[68,82,148,158],"to":[69,98],"infer":[70],"missing":[72],"regions":[73],"learn":[75],"boundaries":[77],"lungs.":[80],"Our":[81,147,176],"achieved":[83,94],"Dice":[85],"0.982":[87],"segmentation.":[90],"Notably,":[91],"our":[92],"approach":[93],"higher":[95],"sensitivity":[96],"compared":[97],"three":[99],"state-of-the-art":[100],"inclusion":[106,132],"large":[110],"masses":[111],"0.11,":[113],"0.20,":[114],"0.52,":[116],"respectively.":[117],"Additionally,":[118],"it":[119],"consistently":[120],"outperformed":[121],"these":[122],"on":[124],"external":[125],"datasets.":[126],"The":[127],"improved":[128],"result":[129],"nodule":[131],"allows":[133],"more":[135],"robust":[138],"downstream":[139],"analysis":[140],"computer-aided":[142],"diagnosis":[143],"cancer.":[146],"provided":[150],"pixel-level":[151],"uncertainty":[152],"estimates,":[153],"visually":[154],"presenting":[155],"where":[156],"confident":[160],"or":[161],"uncertain.":[162],"High-uncertainty":[163],"areas":[164],"can":[165],"be":[166],"flagged":[167],"further":[169],"examination":[170],"both":[172],"clinicians":[173],"researchers.":[175],"implementation":[177],"available":[179],"at":[180],"https://github.com/luotingzhuang/maskedSeg.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}