{"id":"https://openalex.org/W4213222709","doi":"https://doi.org/10.1117/12.2611595","title":"Accelerating 2D abdominal organ segmentation with active learning","display_name":"Accelerating 2D abdominal organ segmentation with active learning","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4213222709","doi":"https://doi.org/10.1117/12.2611595","pmid":"https://pubmed.ncbi.nlm.nih.gov/36303576"},"language":"en","primary_location":{"id":"doi:10.1117/12.2611595","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611595","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","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9604047","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003076238","display_name":"Xin Yu","orcid":"https://orcid.org/0000-0002-0269-5649"},"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":"Xin Yu","raw_affiliation_strings":["Computer Science, Vanderbilt University, Nashville, TN","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Computer Science, Vanderbilt University, Nashville, TN","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037478865","display_name":"Yucheng Tang","orcid":"https://orcid.org/0000-0002-6008-9700"},"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":"Yucheng Tang","raw_affiliation_strings":["Electrical and Computer Engineering, Vanderbilt University, Nashville, TN","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Vanderbilt University, Nashville, TN","institution_ids":[]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063409605","display_name":"Qi Yang","orcid":"https://orcid.org/0000-0002-5773-0456"},"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":"Qi Yang","raw_affiliation_strings":["Computer Science, Vanderbilt University, Nashville, TN","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Computer Science, Vanderbilt University, Nashville, TN","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051208155","display_name":"Ho Hin Lee","orcid":"https://orcid.org/0000-0002-7378-2379"},"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":"Ho Hin Lee","raw_affiliation_strings":["Computer Science, Vanderbilt University, Nashville, TN","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Computer Science, Vanderbilt University, Nashville, TN","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048972725","display_name":"Shunxing Bao","orcid":"https://orcid.org/0000-0001-6376-4292"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shunxing Bao","raw_affiliation_strings":["Electrical and Computer Engineering, Vanderbilt University, Nashville, TN"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Vanderbilt University, Nashville, TN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057773277","display_name":"Ann Zenobia Moore","orcid":"https://orcid.org/0000-0002-1471-4253"},"institutions":[{"id":"https://openalex.org/I4210136305","display_name":"Institute on Aging","ror":"https://ror.org/0390vdb22","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210136305"]},{"id":"https://openalex.org/I4210136897","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210136897"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ann Zenobia Moore","raw_affiliation_strings":["National Institute on Aging, Baltimore, MD","National Institute on Aging (United States)"],"affiliations":[{"raw_affiliation_string":"National Institute on Aging, Baltimore, MD","institution_ids":["https://openalex.org/I4210136897"]},{"raw_affiliation_string":"National Institute on Aging (United States)","institution_ids":["https://openalex.org/I4210136305","https://openalex.org/I4210136897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048196698","display_name":"Luigi Ferrucci","orcid":"https://orcid.org/0000-0002-6273-1613"},"institutions":[{"id":"https://openalex.org/I4210136897","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210136897"]},{"id":"https://openalex.org/I4210136305","display_name":"Institute on Aging","ror":"https://ror.org/0390vdb22","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210136305"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luigi Ferrucci","raw_affiliation_strings":["National Institute on Aging, Baltimore, MD","National Institute on Aging (United States)"],"affiliations":[{"raw_affiliation_string":"National Institute on Aging, Baltimore, MD","institution_ids":["https://openalex.org/I4210136897"]},{"raw_affiliation_string":"National Institute on Aging (United States)","institution_ids":["https://openalex.org/I4210136305","https://openalex.org/I4210136897"]}]},{"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":["Computer Science, Vanderbilt University, Nashville, TN","Electrical and Computer Engineering, Vanderbilt University, Nashville, TN","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Computer Science, Vanderbilt University, Nashville, TN","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Vanderbilt University, Nashville, TN","institution_ids":[]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5003076238"],"corresponding_institution_ids":["https://openalex.org/I200719446"],"apc_list":null,"apc_paid":null,"fwci":1.4427,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81127451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"12032","issue":null,"first_page":"120","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9782000184059143,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9769999980926514,"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":0.76624995470047},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7543163299560547},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.7368239164352417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6672685742378235},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6565963625907898},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.627130925655365},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5130516290664673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4747783839702606},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46996021270751953},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4189404249191284},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08583703637123108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76624995470047},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7543163299560547},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.7368239164352417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672685742378235},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6565963625907898},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.627130925655365},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5130516290664673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4747783839702606},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46996021270751953},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4189404249191284},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08583703637123108},{"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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2611595","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611595","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":"pmid:36303576","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36303576","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:pubmedcentral.nih.gov:9604047","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9604047","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc SPIE Int Soc Opt Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9604047","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9604047","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc SPIE Int Soc Opt Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2069253862","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2630837129","https://openalex.org/W2795282075","https://openalex.org/W2799142782","https://openalex.org/W2982043723","https://openalex.org/W3002569343","https://openalex.org/W3026587747","https://openalex.org/W3112256294","https://openalex.org/W3164847477","https://openalex.org/W6687483927","https://openalex.org/W6739696289","https://openalex.org/W6750523955","https://openalex.org/W6787675473"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W2586273397","https://openalex.org/W2390936256","https://openalex.org/W2483429559","https://openalex.org/W2016385589","https://openalex.org/W2009559548","https://openalex.org/W4366341510","https://openalex.org/W2906397153","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Abdominal":[0],"computed":[1],"tomography":[2],"CT":[3],"imaging":[4,53],"enables":[5],"assessment":[6],"of":[7,14,21,34,66,108,178,200,205,229],"body":[8],"habitus":[9],"and":[10,69,105,122,163,194,232],"organ":[11,63,84],"health.":[12],"Quantification":[13],"these":[15,38],"health":[16],"factors":[17],"necessitates":[18],"semantic":[19],"segmentation":[20,33,85],"key":[22],"structures.":[23],"Deep":[24,78],"learning":[25,79,117,221],"efforts":[26,231],"have":[27],"shown":[28],"remarkable":[29],"success":[30],"in":[31,71,172,198],"automating":[32],"abdominal":[35,62,83],"CT,":[36],"but":[37,94],"methods":[39],"largely":[40],"rely":[41],"on":[42,150],"3D":[43,67],"volumes.":[44],"Current":[45],"approaches":[46,80],"are":[47,75],"not":[48],"applicable":[49],"when":[50],"single":[51],"slice":[52],"is":[54,96],"used":[55],"to":[56,99,126,132,140,169,181,183],"minimize":[57],"radiation":[58],"dose.":[59],"For":[60],"2D":[61,82],"segmentation,":[64],"lack":[65],"context":[68],"variety":[70],"acquired":[72],"image":[73],"levels":[74],"major":[76],"challenges.":[77],"for":[81],"benefit":[86],"by":[87,120],"adding":[88],"more":[89,166,215],"images":[90],"with":[91,136,158,218],"manual":[92,230],"annotation,":[93],"annotation":[95,118,143],"resource":[97],"intensive":[98],"acquire":[100],"given":[101],"the":[102,106,124,129,142,146,156,176,185,195,206,209,227],"large":[103],"quantity":[104],"requirement":[107],"expertise.":[109],"Herein,":[110],"we":[111,154],"designed":[112],"a":[113],"gradient":[114],"based":[115],"active":[116,220],"framework":[119,225],"meta-parameterizing":[121],"optimizing":[123],"exemplars":[125],"dynamically":[127],"select":[128],"'hard":[130],"cases'":[131],"achieve":[133,184],"better":[134],"results":[135],"fewer":[137],"annotated":[138],"slices":[139],"reduce":[141],"effort.":[144],"With":[145],"Baltimore":[147],"Longitudinal":[148],"Study":[149],"Aging":[151],"(BLSA)":[152],"cohort,":[153],"evaluated":[155],"performance":[157],"starting":[159],"from":[160],"286":[161],"subjects":[162,167,171],"added":[164],"50":[165],"iteratively":[168],"586":[170],"total.":[173],"We":[174],"compared":[175,217],"amount":[177],"data":[179,216],"required":[180],"add":[182],"same":[186],"Dice":[187],"score":[188],"between":[189],"using":[190],"our":[191,219],"proposed":[192,224],"method":[193],"random":[196,210],"selection":[197,211],"terms":[199],"Dice.":[201],"When":[202],"achieving":[203],"0.97":[204],"maximum":[207],"Dice,":[208],"needed":[212],"4.4":[213],"times":[214],"framework.":[222],"The":[223],"maximizes":[226],"efficacy":[228],"accelerates":[233],"learning.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}