{"id":"https://openalex.org/W4285159381","doi":"https://doi.org/10.1109/access.2022.3182104","title":"Attention-Guided Feature Extraction and Multiscale Feature Fusion 3D ResNet for Automated Pulmonary Nodule Detection","display_name":"Attention-Guided Feature Extraction and Multiscale Feature Fusion 3D ResNet for Automated Pulmonary Nodule Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285159381","doi":"https://doi.org/10.1109/access.2022.3182104"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3182104","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3182104","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09793637.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09793637.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100330893","display_name":"Guanglu Zhang","orcid":"https://orcid.org/0000-0001-7067-2257"},"institutions":[{"id":"https://openalex.org/I152033890","display_name":"Hainan Normal University","ror":"https://ror.org/031dhcv14","country_code":"CN","type":"education","lineage":["https://openalex.org/I152033890"]},{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglu Zhang","raw_affiliation_strings":["Army Engineering University of PLA, Nanjing, China","Hainan Normal University, Hainan, China","School of Graduate, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7067-2257","affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"Hainan Normal University, Hainan, China","institution_ids":["https://openalex.org/I152033890"]},{"raw_affiliation_string":"School of Graduate, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330903","display_name":"Hongjun Zhang","orcid":"https://orcid.org/0000-0002-6708-5956"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Zhang","raw_affiliation_strings":["Army Engineering University of PLA, Nanjing, China","School of Graduate, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"School of Graduate, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389458","display_name":"Yuhua Yao","orcid":"https://orcid.org/0000-0003-4811-646X"},"institutions":[{"id":"https://openalex.org/I152033890","display_name":"Hainan Normal University","ror":"https://ror.org/031dhcv14","country_code":"CN","type":"education","lineage":["https://openalex.org/I152033890"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Yao","raw_affiliation_strings":["Hainan Normal University, Hainan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hainan Normal University, Hainan, China","institution_ids":["https://openalex.org/I152033890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104197984","display_name":"Qiuhui Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuhui Shen","raw_affiliation_strings":["Army Engineering University of PLA, Nanjing, China","School of Graduate, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"School of Graduate, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.6263,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94271635,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"61530","last_page":"61543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9994999766349792,"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":0.9994999766349792,"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":0.993399977684021,"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":0.9855999946594238,"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":0.7356772422790527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7068157196044922},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6602876782417297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6421167254447937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6041083931922913},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.56361323595047},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5488000512123108},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4906584322452545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42840901017189026},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42611610889434814},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1523205041885376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7356772422790527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7068157196044922},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6602876782417297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6421167254447937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6041083931922913},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.56361323595047},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5488000512123108},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4906584322452545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42840901017189026},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42611610889434814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1523205041885376},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3182104","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3182104","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09793637.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:128b99753def4720968a9b01da61b230","is_oa":false,"landing_page_url":"https://doaj.org/article/128b99753def4720968a9b01da61b230","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 61530-61543 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3182104","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3182104","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09793637.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4699999988079071,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G5590411628","display_name":null,"funder_award_id":"621RC1060","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G6901231562","display_name":null,"funder_award_id":"Hnky2021ZD-12","funder_id":"https://openalex.org/F4320326677","funder_display_name":"Education Department of Hainan Province"},{"id":"https://openalex.org/G8775987528","display_name":null,"funder_award_id":"62162025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321933","display_name":"Hainan Normal University","ror":"https://ror.org/031dhcv14"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326677","display_name":"Education Department of Hainan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285159381.pdf","grobid_xml":"https://content.openalex.org/works/W4285159381.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1901129140","https://openalex.org/W1986649315","https://openalex.org/W2052330152","https://openalex.org/W2165791585","https://openalex.org/W2193145675","https://openalex.org/W2322371438","https://openalex.org/W2524399695","https://openalex.org/W2542707222","https://openalex.org/W2565639579","https://openalex.org/W2584017349","https://openalex.org/W2618530766","https://openalex.org/W2626997132","https://openalex.org/W2884561390","https://openalex.org/W2884585870","https://openalex.org/W2887808321","https://openalex.org/W2919115771","https://openalex.org/W2937068764","https://openalex.org/W2940711273","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963420686","https://openalex.org/W2963777800","https://openalex.org/W3081029196","https://openalex.org/W3106250896","https://openalex.org/W3110524469","https://openalex.org/W3136895625","https://openalex.org/W3147142721","https://openalex.org/W3217549023","https://openalex.org/W4205602022","https://openalex.org/W4205917246","https://openalex.org/W4210358025","https://openalex.org/W4210406483","https://openalex.org/W4211038303","https://openalex.org/W4225845169","https://openalex.org/W6620707391"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W4321487865","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W4313906399","https://openalex.org/W4206776094","https://openalex.org/W3154920669","https://openalex.org/W3121197456"],"abstract_inverted_index":{"Automatic":[0],"detection":[1,25,232,297,306],"of":[2,6,14,34,53,109,125,152,181,193,199,203,214,224,229,234,238,253,279,299],"pulmonary":[3,35,54,76],"nodules":[4,36,41,55],"is":[5,20,59,73,174,241,247,285,302],"great":[7],"significance":[8],"for":[9,75],"early":[10],"diagnosis":[11],"and":[12,23,32,39,101,130,163,189,243,281,312],"prevention":[13],"lung":[15],"cancer.":[16],"Computed":[17],"tomography":[18],"(CT)":[19],"an":[21,66],"effective":[22],"economical":[24],"method.":[26],"In":[27,63,207],"CT":[28,57,92],"images,":[29],"the":[30,46,50,89,102,107,122,128,133,138,149,157,178,186,191,197,201,204,212,227,231,236,244,260,262,269,275,282,288,291],"size":[31],"shape":[33],"are":[37,42,256],"different,":[38],"some":[40],"very":[43],"similar":[44],"to":[45,86,98,106,119,136,176,209,211,221],"surrounding":[47],"tissues.":[48],"Therefore,":[49],"automatic":[51],"localization":[52],"in":[56,127,259],"images":[58],"a":[60,114,250,314],"challenging":[61],"task.":[62],"this":[64,300],"study,":[65],"attention":[67,82,97,105,146,270],"embedded":[68],"three-dimensional":[69],"convolutional":[70],"neural":[71],"network":[72,245,272],"proposed":[74],"nodule":[77,139,215],"detection.":[78],"Specifically,":[79],"1)":[80],"channel-spatial":[81],"guides":[83],"3D":[84,91],"ResNet":[85],"down":[87],"sample":[88],"input":[90],"patch.":[93],"The":[94,111,143,170,265,296],"channel":[95,144],"pays":[96,104],"important":[99],"features":[100,278],"space":[103],"region":[108],"interest.":[110],"two":[112,222],"form":[113],"complementary":[115],"feature":[116,134,153],"extraction":[117],"mechanism":[118],"effectively":[120],"help":[121],"global":[123],"flow":[124],"information":[126],"network,":[129],"further":[131],"refine":[132],"mapping":[135],"extract":[137,274],"context":[140],"features.":[141,168],"2)":[142],"spatial":[145],"module":[147],"changes":[148],"fusion":[150],"mode":[151],"pyramid,":[154],"adaptively":[155],"adjusts":[156],"pixel":[158],"level":[159],"weight":[160],"between":[161],"features,":[162],"extracts":[164],"multi-scale":[165,276],"representative":[166,277],"node":[167],"3)":[169],"deep":[171,310],"separable":[172],"convolution":[173,180],"used":[175],"replace":[177],"standard":[179],"ResNet,":[182],"which":[183],"can":[184,273],"reduce":[185],"time":[187],"cost":[188],"improve":[190],"efficiency":[192],"model":[194],"training":[195],"on":[196,261,309],"premise":[198],"ensuring":[200,230],"performance":[202],"model.":[205],"4)":[206],"order":[208],"adapt":[210],"distribution":[213],"scale,":[216],"different":[217],"characteristic":[218],"layers":[219],"correspond":[220],"sizes":[223],"anchors.":[225],"Under":[226],"condition":[228],"rate":[233],"nodules,":[235,280],"number":[237,252],"anchor":[239],"frames":[240],"reduced":[242],"sensitivity":[246,284],"improved.":[248],"Finally,":[249],"large":[251],"ablation":[254],"experiments":[255],"carried":[257],"out":[258],"LUNA16":[263],"dataset.":[264],"results":[266],"show":[267],"that":[268],"guided":[271],"average":[283],"97.7%.":[286],"At":[287],"same":[289],"time,":[290],"CMP":[292],"score":[293],"reached":[294],"0.912.":[295],"effect":[298],"method":[301],"better":[303],"than":[304],"most":[305],"methods":[307],"based":[308],"learning,":[311],"has":[313],"certain":[315],"reference":[316],"value.":[317]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}