{"id":"https://openalex.org/W4294811417","doi":"https://doi.org/10.1109/cec55065.2022.9870389","title":"Ensemble of deep learning models with surrogate-based optimization for medical image segmentation","display_name":"Ensemble of deep learning models with surrogate-based optimization for medical image segmentation","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4294811417","doi":"https://doi.org/10.1109/cec55065.2022.9870389"},"language":"en","primary_location":{"id":"doi:10.1109/cec55065.2022.9870389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870389","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","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":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://rgu-repository.worktribe.com/file/1745054/1/DANG%202022%20Ensemble%20of%20deep%20learning%20%28AAM%29","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034926698","display_name":"Truong Dang","orcid":"https://orcid.org/0000-0001-8952-7770"},"institutions":[{"id":"https://openalex.org/I522815984","display_name":"Robert Gordon University","ror":"https://ror.org/04f0qj703","country_code":"GB","type":"education","lineage":["https://openalex.org/I522815984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Truong Dang","raw_affiliation_strings":["School of Computing, Robert Gordon University,Aberdeen,UK","School of Computing, Robert Gordon University, Aberdeen, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Robert Gordon University,Aberdeen,UK","institution_ids":["https://openalex.org/I522815984"]},{"raw_affiliation_string":"School of Computing, Robert Gordon University, Aberdeen, UK","institution_ids":["https://openalex.org/I522815984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032204286","display_name":"Anh Vu Luong","orcid":"https://orcid.org/0000-0002-5334-833X"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anh Vu Luong","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University,Queensland,Australia","School of Information and Communication Technology, Griffith University, Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University,Queensland,Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091254555","display_name":"Alan Wee\u2010Chung Liew","orcid":"https://orcid.org/0000-0001-6718-7584"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alan Wee Chung Liew","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University,Queensland,Australia","School of Information and Communication Technology, Griffith University, Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University,Queensland,Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027645309","display_name":"John McCall","orcid":"https://orcid.org/0000-0003-1738-7056"},"institutions":[{"id":"https://openalex.org/I522815984","display_name":"Robert Gordon University","ror":"https://ror.org/04f0qj703","country_code":"GB","type":"education","lineage":["https://openalex.org/I522815984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John McCall","raw_affiliation_strings":["School of Computing, Robert Gordon University,Aberdeen,UK","School of Computing, Robert Gordon University, Aberdeen, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Robert Gordon University,Aberdeen,UK","institution_ids":["https://openalex.org/I522815984"]},{"raw_affiliation_string":"School of Computing, Robert Gordon University, Aberdeen, UK","institution_ids":["https://openalex.org/I522815984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696033","display_name":"Tien Thanh Nguyen","orcid":"https://orcid.org/0000-0002-7107-5611"},"institutions":[{"id":"https://openalex.org/I522815984","display_name":"Robert Gordon University","ror":"https://ror.org/04f0qj703","country_code":"GB","type":"education","lineage":["https://openalex.org/I522815984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tien Thanh Nguyen","raw_affiliation_strings":["School of Computing, Robert Gordon University,Aberdeen,UK","School of Computing, Robert Gordon University, Aberdeen, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Robert Gordon University,Aberdeen,UK","institution_ids":["https://openalex.org/I522815984"]},{"raw_affiliation_string":"School of Computing, Robert Gordon University, Aberdeen, UK","institution_ids":["https://openalex.org/I522815984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034926698"],"corresponding_institution_ids":["https://openalex.org/I522815984"],"apc_list":null,"apc_paid":null,"fwci":0.659,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78133428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7528383135795593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6489679217338562},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5446937680244446},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5367698669433594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5222345590591431},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5145165920257568},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4819164574146271},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.466340035200119},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43951427936553955},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4377066195011139},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4269115626811981},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3942722678184509},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26689302921295166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528383135795593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6489679217338562},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5446937680244446},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5367698669433594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5222345590591431},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5145165920257568},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4819164574146271},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.466340035200119},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43951427936553955},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4377066195011139},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4269115626811981},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3942722678184509},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26689302921295166}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cec55065.2022.9870389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870389","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","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":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:rgu-repository.worktribe.com:1745054","is_oa":true,"landing_page_url":"https://rgu-repository.worktribe.com/output/1745054","pdf_url":"https://rgu-repository.worktribe.com/file/1745054/1/DANG%202022%20Ensemble%20of%20deep%20learning%20%28AAM%29","source":{"id":"https://openalex.org/S4306400814","display_name":"Open Access Institutional Repository at Robert Gordon University (Robert Gordon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I522815984","host_organization_name":"Robert Gordon University","host_organization_lineage":["https://openalex.org/I522815984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/421805","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/421805","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:rgu-repository.worktribe.com:1745054","is_oa":true,"landing_page_url":"https://rgu-repository.worktribe.com/output/1745054","pdf_url":"https://rgu-repository.worktribe.com/file/1745054/1/DANG%202022%20Ensemble%20of%20deep%20learning%20%28AAM%29","source":{"id":"https://openalex.org/S4306400814","display_name":"Open Access Institutional Repository at Robert Gordon University (Robert Gordon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I522815984","host_organization_name":"Robert Gordon University","host_organization_lineage":["https://openalex.org/I522815984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294811417.pdf","grobid_xml":"https://content.openalex.org/works/W4294811417.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W75550020","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1909740415","https://openalex.org/W1993947467","https://openalex.org/W2011174137","https://openalex.org/W2016648380","https://openalex.org/W2036732577","https://openalex.org/W2107660364","https://openalex.org/W2152195021","https://openalex.org/W2155953385","https://openalex.org/W2565639579","https://openalex.org/W2592340788","https://openalex.org/W2618530766","https://openalex.org/W2735039185","https://openalex.org/W2775524044","https://openalex.org/W2798122215","https://openalex.org/W2806618077","https://openalex.org/W2890602145","https://openalex.org/W2891186800","https://openalex.org/W2912327653","https://openalex.org/W2954826798","https://openalex.org/W2962722483","https://openalex.org/W2962914239","https://openalex.org/W2963881378","https://openalex.org/W2963959402","https://openalex.org/W2964282006","https://openalex.org/W2966647688","https://openalex.org/W3025698832","https://openalex.org/W3039164994","https://openalex.org/W3090280518","https://openalex.org/W3090554126","https://openalex.org/W3105636206","https://openalex.org/W3113095334","https://openalex.org/W3191781695","https://openalex.org/W4238388420","https://openalex.org/W4255158661","https://openalex.org/W4288358483","https://openalex.org/W6603061937","https://openalex.org/W6639824700","https://openalex.org/W6659473930","https://openalex.org/W6683044023","https://openalex.org/W6746996614","https://openalex.org/W6750469568","https://openalex.org/W6761743508"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2912622974","https://openalex.org/W2621058457","https://openalex.org/W1984204070","https://openalex.org/W2987087830","https://openalex.org/W4386421932","https://openalex.org/W4304185466","https://openalex.org/W2740350000","https://openalex.org/W2021705664","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"have":[4],"created":[5],"a":[6,60,91,118,123,152],"breakthrough":[7],"in":[8,12,145],"medical":[9,20,40,56],"image":[10,57],"analysis":[11,21],"recent":[13],"years.":[14],"Because":[15],"clinical":[16],"applications":[17],"of":[18,50,55,93,102,106,130,142,154],"automated":[19],"are":[22],"required":[23],"to":[24,33,71,137],"be":[25],"reliable,":[26],"robust":[27],"and":[28,133],"accurate,":[29],"it":[30,136],"is":[31,90,114],"necessary":[32],"devise":[34],"effective":[35,78],"DNNs":[36,51],"based":[37,85],"models":[38,65,84],"for":[39,52,81],"applications.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"propose":[46],"an":[47,77],"ensemble":[48],"framework":[49,160],"the":[53,107,110,126,139,146],"problem":[54,101],"segmentation":[58,83],"with":[59],"note":[61],"that":[62,158],"combining":[63,79],"multiple":[64],"can":[66],"obtain":[67],"better":[68],"results":[69,163],"compared":[70],"each":[72,143],"constituent":[73],"one.":[74],"We":[75,121],"introduce":[76],"strategy":[80],"individual":[82],"on":[86,125,151],"swarm":[87],"intelligence,":[88],"which":[89],"family":[92],"optimization":[94],"algorithms":[95],"inspired":[96],"by":[97,116],"biological":[98],"processes.":[99],"The":[100],"expensive":[103],"computational":[104],"time":[105],"optimizer":[108],"during":[109],"objective":[111,127,140],"function":[112,128],"evaluation":[113],"relieved":[115],"using":[117],"surrogate-based":[119],"method.":[120],"train":[122],"surrogate":[124],"information":[129],"some":[131],"populations":[132],"then":[134],"use":[135],"predict":[138],"values":[141],"candidate":[144],"subsequent":[147],"populations.":[148],"Experiments":[149],"run":[150],"number":[153],"public":[155],"datasets":[156],"indicate":[157],"our":[159],"achieves":[161],"competitive":[162],"within":[164],"reasonable":[165],"computation":[166],"time.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
