{"id":"https://openalex.org/W3024890010","doi":"https://doi.org/10.1109/access.2020.2993872","title":"Design of Automatic Lung Nodule Detection System Based on Multi-Scene Deep Learning Framework","display_name":"Design of Automatic Lung Nodule Detection System Based on Multi-Scene Deep Learning Framework","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3024890010","doi":"https://doi.org/10.1109/access.2020.2993872","mag":"3024890010"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2993872","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2993872","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09091120.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/ielx7/6287639/8948470/09091120.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101753415","display_name":"Qinghai Zhang","orcid":"https://orcid.org/0000-0003-0866-527X"},"institutions":[{"id":"https://openalex.org/I4210093148","display_name":"The Fourth People's Hospital of Zibo City","ror":"https://ror.org/00h626c53","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093148"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghai Zhang","raw_affiliation_strings":["The Third People\u2019s Hospital of Zibo, Zibo, China","The Third People's Hospital of Zibo, Zibo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Third People\u2019s Hospital of Zibo, Zibo, China","institution_ids":["https://openalex.org/I4210093148"]},{"raw_affiliation_string":"The Third People's Hospital of Zibo, Zibo, China","institution_ids":["https://openalex.org/I4210093148"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020840099","display_name":"Xiaojing Kong","orcid":"https://orcid.org/0000-0003-0658-3609"},"institutions":[{"id":"https://openalex.org/I4210093148","display_name":"The Fourth People's Hospital of Zibo City","ror":"https://ror.org/00h626c53","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093148"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojing Kong","raw_affiliation_strings":["The Third People\u2019s Hospital of Zibo, Zibo, China","The Third People's Hospital of Zibo, Zibo, China"],"raw_orcid":"https://orcid.org/0000-0003-0658-3609","affiliations":[{"raw_affiliation_string":"The Third People\u2019s Hospital of Zibo, Zibo, China","institution_ids":["https://openalex.org/I4210093148"]},{"raw_affiliation_string":"The Third People's Hospital of Zibo, Zibo, China","institution_ids":["https://openalex.org/I4210093148"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210093148"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.6318,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.92346055,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"90380","last_page":"90389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9973999857902527,"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":0.9610000252723694,"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":0.7991389036178589},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7602425813674927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7368346452713013},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7219917178153992},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.5808176398277283},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5476871132850647},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5179961919784546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.448845237493515},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4249994158744812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991389036178589},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7602425813674927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7368346452713013},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7219917178153992},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.5808176398277283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5476871132850647},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5179961919784546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.448845237493515},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4249994158744812},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2993872","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2993872","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09091120.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:5e85ccf2c0674e3093100b34fd362579","is_oa":true,"landing_page_url":"https://doaj.org/article/5e85ccf2c0674e3093100b34fd362579","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 90380-90389 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2993872","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2993872","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09091120.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":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3024890010.pdf","grobid_xml":"https://content.openalex.org/works/W3024890010.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1439484735","https://openalex.org/W1985289613","https://openalex.org/W2090348088","https://openalex.org/W2129132813","https://openalex.org/W2172659215","https://openalex.org/W2442067198","https://openalex.org/W2513781936","https://openalex.org/W2563460317","https://openalex.org/W2566620708","https://openalex.org/W2618720482","https://openalex.org/W2639586488","https://openalex.org/W2768405172","https://openalex.org/W2791104228","https://openalex.org/W2791187255","https://openalex.org/W2800755727","https://openalex.org/W2804546134","https://openalex.org/W2895992674","https://openalex.org/W2897755679","https://openalex.org/W2899028020","https://openalex.org/W2901369207","https://openalex.org/W2910963184","https://openalex.org/W2921884745","https://openalex.org/W2945759189","https://openalex.org/W2963488165","https://openalex.org/W2963777800","https://openalex.org/W2965172271","https://openalex.org/W2990661479","https://openalex.org/W6685101094"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W3209204065","https://openalex.org/W2105707930","https://openalex.org/W1755711892","https://openalex.org/W2164205946","https://openalex.org/W2160907113","https://openalex.org/W2070813941","https://openalex.org/W2086542911"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,5,11,19,54,59,71,89,113,124,128,151,161,176],"efficient":[2,99,158],"identification":[3,100],"of":[4,13,22,73,130,172,178],"lung":[6,14,23,55,103,179],"nodule":[7,56],"greatly":[8],"leads":[9],"to":[10,122],"chance":[12],"cancer":[15],"risk":[16],"assessment.":[17],"Hence,":[18],"exact":[20],"locations":[21],"nodules":[24,104,132],"are":[25,61,86],"a":[26,74],"critical":[27],"and":[28,57,64,163],"complicated":[29],"task.":[30],"Researchers":[31],"in":[32,88,127,143,168,175],"this":[33,93,95],"area":[34],"have":[35],"been":[36],"working":[37],"widely":[38],"for":[39,102,159],"almost":[40],"two":[41,135,144],"years.":[42],"However,":[43],"previous":[44],"computer-aided":[45],"detection":[46,129,177],"(CAD)":[47],"modules,":[48],"such":[49],"as":[50],"transforming":[51],"CT,":[52],"segmenting":[53],"extracting":[58],"features":[60],"mostly":[62],"complex":[63],"time-consuming,":[65],"because":[66],"more":[67],"modules":[68],"will":[69],"require":[70],"creation":[72],"complete":[75],"image":[76,136,173],"processing":[77],"system.":[78],"In":[79],"addition,":[80],"certain":[81],"state-of-the-art":[82],"deep":[83],"learning":[84],"systems":[85],"specified":[87],"database":[90],"standard.":[91],"For":[92],"purpose,":[94],"paper":[96],"suggests":[97],"an":[98,169],"system":[101],"based":[105],"on":[106],"Multi-Scene":[107,152],"Deep":[108,153],"Learning":[109,154],"Framework":[110,155],"(MSDLF)":[111,156],"by":[112,133],"vesselness":[114],"filter.":[115],"A":[116],"four-channel":[117],"CNN":[118],"model":[119,139],"is":[120,157],"designed":[121],"enhance":[123],"radiologist's":[125],"knowledge":[126],"four-stage":[131],"integrating":[134],"Scenes.":[137],"This":[138],"can":[140],"be":[141],"applied":[142],"different":[145],"classes.":[146],"The":[147],"results":[148],"show":[149],"that":[150],"increasing":[160],"accuracy":[162],"significantly":[164],"reducing":[165],"false":[166],"positives":[167],"enormous":[170],"amount":[171],"data":[174],"nodules.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}