{"id":"https://openalex.org/W2906111507","doi":"https://doi.org/10.1109/access.2018.2889350","title":"Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images","display_name":"Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images","publication_year":2018,"publication_date":"2018-12-24","ids":{"openalex":"https://openalex.org/W2906111507","doi":"https://doi.org/10.1109/access.2018.2889350","mag":"2906111507"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2889350","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2889350","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08586874.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":null,"license_id":null,"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/ielx7/6287639/8600701/08586874.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020542342","display_name":"Patrice Monkam","orcid":"https://orcid.org/0000-0003-3805-9457"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Patrice Monkam","raw_affiliation_strings":["Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003777802","display_name":"Shouliang Qi","orcid":"https://orcid.org/0000-0003-0977-1939"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouliang Qi","raw_affiliation_strings":["Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069307874","display_name":"Mingjie Xu","orcid":"https://orcid.org/0000-0002-4976-789X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie Xu","raw_affiliation_strings":["Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101399530","display_name":"Haoming Li","orcid":"https://orcid.org/0000-0002-8202-8626"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoming Li","raw_affiliation_strings":["Software College, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Software College, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101774760","display_name":"Fangfang Han","orcid":"https://orcid.org/0000-0002-9299-0915"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangfang Han","raw_affiliation_strings":["Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091323772","display_name":"Yueyang Teng","orcid":"https://orcid.org/0000-0002-1487-8434"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueyang Teng","raw_affiliation_strings":["Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374757","display_name":"Wei Qian","orcid":"https://orcid.org/0000-0002-9563-721X"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Qian","raw_affiliation_strings":["College of Engineering, The University of Texas at El Paso, El Paso, TX, USA"],"affiliations":[{"raw_affiliation_string":"College of Engineering, The University of Texas at El Paso, El Paso, TX, USA","institution_ids":["https://openalex.org/I164936912"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5020542342"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.2232,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.94928519,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"5564","last_page":"5576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9994000196456909,"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":0.9994000196456909,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9957000017166138,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9864000082015991,"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/notation","display_name":"Notation","score":0.6131012439727783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5925288796424866},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.4794151484966278},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41383177042007446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40253913402557373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3893631100654602},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35069215297698975},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1567423939704895},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.14313331246376038}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.6131012439727783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5925288796424866},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.4794151484966278},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41383177042007446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40253913402557373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3893631100654602},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35069215297698975},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1567423939704895},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.14313331246376038},{"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.2018.2889350","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2889350","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08586874.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:984be63ceb9448c5a50a3bcda8613507","is_oa":true,"landing_page_url":"https://doaj.org/article/984be63ceb9448c5a50a3bcda8613507","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 7, Pp 5564-5576 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2889350","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2889350","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08586874.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":null,"license_id":null,"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/10","score":0.6499999761581421,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4301822736","display_name":null,"funder_award_id":"6167214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4955488352","display_name":null,"funder_award_id":"2008008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5862476632","display_name":null,"funder_award_id":"61672146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G596841954","display_name":null,"funder_award_id":"N172008008","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6198905790","display_name":null,"funder_award_id":"81671773","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6847992903","display_name":null,"funder_award_id":"172008008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G973900094","display_name":null,"funder_award_id":"8167177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306080","display_name":"Foundation for the National Institutes of Health","ror":"https://ror.org/00k86s890"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2906111507.pdf","grobid_xml":"https://content.openalex.org/works/W2906111507.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W948663339","https://openalex.org/W1482273771","https://openalex.org/W1686810756","https://openalex.org/W1797761079","https://openalex.org/W1832693441","https://openalex.org/W1987805244","https://openalex.org/W1992122542","https://openalex.org/W1995562189","https://openalex.org/W1999529880","https://openalex.org/W2028693942","https://openalex.org/W2030184507","https://openalex.org/W2045768472","https://openalex.org/W2096987757","https://openalex.org/W2110798204","https://openalex.org/W2111072639","https://openalex.org/W2112739286","https://openalex.org/W2129597285","https://openalex.org/W2134603844","https://openalex.org/W2163605009","https://openalex.org/W2187378363","https://openalex.org/W2194775991","https://openalex.org/W2238314517","https://openalex.org/W2265846598","https://openalex.org/W2281177633","https://openalex.org/W2295001676","https://openalex.org/W2301541953","https://openalex.org/W2322371438","https://openalex.org/W2394599079","https://openalex.org/W2443874554","https://openalex.org/W2524399695","https://openalex.org/W2566620708","https://openalex.org/W2594257892","https://openalex.org/W2639586488","https://openalex.org/W2743008510","https://openalex.org/W2744234669","https://openalex.org/W2751647243","https://openalex.org/W2755033224","https://openalex.org/W2765164841","https://openalex.org/W2765452832","https://openalex.org/W2770853452","https://openalex.org/W2787067754","https://openalex.org/W2789973801","https://openalex.org/W2794187429","https://openalex.org/W2807319534","https://openalex.org/W2883529983","https://openalex.org/W2915804716","https://openalex.org/W2963777800","https://openalex.org/W3104246147","https://openalex.org/W4252015032","https://openalex.org/W6676481782","https://openalex.org/W6679935922","https://openalex.org/W6684191040","https://openalex.org/W6693505360","https://openalex.org/W6742152037"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2498744856","https://openalex.org/W1595229445","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W2963177394","https://openalex.org/W1965815883"],"abstract_inverted_index":{"Numerous":[0],"automatic":[1,292],"systems":[2,39],"of":[3,13,33,49,77,86,107,180,205,213,237,251,314],"pulmonary":[4,112],"nodules":[5],"detection":[6],"have":[7,15],"been":[8,16],"proposed,":[9],"but":[10],"very":[11],"few":[12],"them":[14],"consecrated":[17],"to":[18,61,192,249,310,321],"micro-nodules":[19,52,65,95,297],"(diameter":[20],"<":[21],"3":[22],"mm)":[23],"even":[24],"though":[25],"they":[26],"are":[27,100,115,173,246],"regarded":[28],"as":[29,256,258],"the":[30,64,103,108,181,194,199,206,217,227,261,266,270,278],"earliest":[31],"manifestations":[32],"lung":[34,307],"cancer.":[35],"Moreover,":[36],"most":[37],"available":[38],"present":[40],"high":[41],"false":[42],"positive":[43],"rate":[44],"resulting":[45],"from":[46,102],"their":[47],"incapability":[48],"discriminating":[50,295],"between":[51,63,296],"and":[53,66,96,158,175,221,235,241,284,298,317,325],"non-nodules.":[54],"Thus,":[55],"this":[56,326],"paper":[57],"proposes":[58],"a":[59],"system":[60,208,229,293],"differentiate":[62],"non-nodules":[67,299],"in":[68,211,300],"computed":[69],"tomography":[70],"(CT)":[71],"images":[72,302],"by":[73,260],"an":[74,231,291],"ensemble":[75,271,318],"learning":[76,186,319],"multiple-view":[78,315],"3-D":[79],"convolutional":[80],"neural":[81],"networks":[82],"(3D-CNNs).":[83],"A":[84],"total":[85],"34":[87],"494":[88],"volumetric":[89],"image":[90],"samples,":[91],"including":[92,121],"13":[93],"179":[94],"21":[97],"315":[98],"non-nodules,":[99],"acquired":[101],"1010":[104],"CT":[105,301],"scans":[106],"LIDC/IDRI":[109],"database.":[110],"The":[111,203,286,312],"nodule":[113,182],"candidates":[114],"cropped":[116],"with":[117],"five":[118,169,195],"different":[119],"sizes,":[120],"<inline-formula":[122,131,140,149,159],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[123,132,141,150,160],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[124,133,142,151,161],"<tex-math":[125,134,143,152,162],"notation=\"LaTeX\">$20\\times":[126],"20\\times":[127],"3$":[128,137,146,155,165],"</tex-math></inline-formula>":[129,138,147,156,166],",":[130,139,148,157],"notation=\"LaTeX\">$16\\times":[135],"16\\times":[136],"notation=\"LaTeX\">$12\\times":[144],"12\\times":[145],"notation=\"LaTeX\">$8\\times":[153],"8\\times":[154],"notation=\"LaTeX\">$4\\times":[163],"4\\times":[164],".":[167],"Then,":[168],"distinct":[170],"3D-CNN":[171,196,254],"models":[172],"built":[174],"implemented":[176,264],"on":[177,265],"one":[178],"size":[179],"candidates.":[183],"An":[184],"extreme":[185],"machine":[187],"(ELM)":[188],"network":[189],"is":[190,209,224,303],"utilized":[191],"integrate":[193],"outputs,":[197],"yielding":[198],"final":[200],"classification":[201],"results.":[202],"performance":[204,276],"proposed":[207,228],"assessed":[210],"terms":[212],"accuracy,":[214,232],"area":[215],"under":[216],"curve":[218],"(AUC),":[219],"F-score,":[220,234],"sensitivity.":[222],"It":[223],"found":[225],"that":[226,289],"yields":[230],"AUC,":[233],"sensitivity":[236],"97.35%,":[238],"0.98,":[239],"96.42%,":[240],"96.57%,":[242],"respectively.":[243],"These":[244],"performances":[245],"highly":[247],"superior":[248],"those":[250,259],"2D-CNNs,":[252],"single":[253],"model,":[255],"well":[257],"state-of-the-art":[262],"methods":[263],"same":[267],"dataset.":[268],"For":[269],"method,":[272],"ELM":[273],"achieves":[274],"better":[275],"than":[277],"majority":[279],"voting,":[280],"averaging,":[281],"AND":[282],"operator,":[283],"autoencoder.":[285],"results":[287],"demonstrate":[288],"developing":[290],"for":[294],"feasible,":[304],"which":[305],"extends":[306],"cancer":[308],"studies":[309],"micro-nodules.":[311],"combination":[313],"3D-CNNs":[316],"contribute":[320],"excellent":[322],"identification":[323],"performance,":[324],"strategy":[327],"may":[328],"help":[329],"develop":[330],"other":[331],"reliable":[332],"clinical-decision":[333],"support":[334],"systems.":[335]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
