{"id":"https://openalex.org/W2895056585","doi":"https://doi.org/10.1109/jbhi.2018.2874033","title":"Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks","display_name":"Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks","publication_year":2018,"publication_date":"2018-10-04","ids":{"openalex":"https://openalex.org/W2895056585","doi":"https://doi.org/10.1109/jbhi.2018.2874033","mag":"2895056585","pmid":"https://pubmed.ncbi.nlm.nih.gov/30295634"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2018.2874033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2874033","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10453/134904","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033585021","display_name":"Imran Razzak","orcid":"https://orcid.org/0000-0002-3930-6600"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Muhammad Imran Razzak","raw_affiliation_strings":["Advanced Analytics Institute, University of Technology Sydney, Ultimo, Australia"],"affiliations":[{"raw_affiliation_string":"Advanced Analytics Institute, University of Technology Sydney, Ultimo, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031927335","display_name":"Muhammad Imran","orcid":"https://orcid.org/0000-0002-6946-2591"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Muhammad Imran","raw_affiliation_strings":["King Saud University, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051512158","display_name":"Guandong Xu","orcid":"https://orcid.org/0000-0003-4493-6663"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guandong Xu","raw_affiliation_strings":["Advanced Analytics Institute, University of Technology Sydney, Ultimo, Australia"],"affiliations":[{"raw_affiliation_string":"Advanced Analytics Institute, University of Technology Sydney, Ultimo, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033585021"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":6.1714,"has_fulltext":false,"cited_by_count":190,"citation_normalized_percentile":{"value":0.97097503,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"23","issue":"5","first_page":"1911","last_page":"1919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9972000122070312,"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":0.7988304495811462},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7985318899154663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.758867621421814},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7045219540596008},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6811212301254272},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6331043839454651},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6280574798583984},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5175351500511169},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4663630723953247},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4390959143638611},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41460371017456055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41036394238471985},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3395337164402008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7988304495811462},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7985318899154663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.758867621421814},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7045219540596008},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6811212301254272},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6331043839454651},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6280574798583984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5175351500511169},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4663630723953247},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4390959143638611},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41460371017456055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41036394238471985},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3395337164402008},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1109/jbhi.2018.2874033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2874033","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:30295634","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30295634","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":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:vital:16244","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/183035","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30132546","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/134904","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/134904","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/134904","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/134904","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G42817971","display_name":null,"funder_award_id":"LP170100891","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1641498739","https://openalex.org/W1797360365","https://openalex.org/W1884191083","https://openalex.org/W2095705004","https://openalex.org/W2117340355","https://openalex.org/W2163605009","https://openalex.org/W2259303769","https://openalex.org/W2279221249","https://openalex.org/W2301358467","https://openalex.org/W2310992461","https://openalex.org/W2334265274","https://openalex.org/W2412782625","https://openalex.org/W2463074148","https://openalex.org/W2576915720","https://openalex.org/W2587828787","https://openalex.org/W2589647984","https://openalex.org/W2594345251","https://openalex.org/W2595668780","https://openalex.org/W2605567328","https://openalex.org/W2618530766","https://openalex.org/W2739179243","https://openalex.org/W2741015411","https://openalex.org/W2751909359","https://openalex.org/W2755930428","https://openalex.org/W2756265196","https://openalex.org/W2765831630","https://openalex.org/W2785314137","https://openalex.org/W2785397276","https://openalex.org/W2791246534","https://openalex.org/W2791575870","https://openalex.org/W2792124446","https://openalex.org/W2792259308","https://openalex.org/W2793705791","https://openalex.org/W2797461639","https://openalex.org/W2806209507","https://openalex.org/W2806857275","https://openalex.org/W2909320927","https://openalex.org/W2951770173","https://openalex.org/W2963120588","https://openalex.org/W2963343946","https://openalex.org/W2964121744","https://openalex.org/W3101333263","https://openalex.org/W3121461282","https://openalex.org/W4297688279","https://openalex.org/W6631190155","https://openalex.org/W6638176760","https://openalex.org/W6682548950","https://openalex.org/W6692147582","https://openalex.org/W6694954494","https://openalex.org/W6744373636","https://openalex.org/W6748579715","https://openalex.org/W6748772311","https://openalex.org/W6750123156","https://openalex.org/W6752147010","https://openalex.org/W6757834681"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4323287533"],"abstract_inverted_index":{"Manual":[0],"segmentation":[1,45],"of":[2,24,54,66,133,150,162],"the":[3,22,32,41,79,109,123,131,146,151,172,176],"brain":[4,25,43,92],"tumors":[5],"for":[6,31,91],"cancer":[7],"diagnosis":[8],"from":[9],"MRI":[10],"images":[11],"is":[12,73,137],"a":[13,63,85,134,163,167],"difficult,":[14],"tedious,":[15],"and":[16,21,36,99,116,143,155],"time-consuming":[17],"task.":[18],"The":[19],"accuracy":[20],"robustness":[23],"tumor":[26,44,93],"segmentation,":[27,94],"therefore,":[28],"are":[29],"crucial":[30],"diagnosis,":[33],"treatment":[34,37],"planning,":[35],"outcome":[38],"evaluation.":[39],"Mostly,":[40],"automatic":[42],"methods":[46,53],"use":[47],"hand":[48],"designed":[49],"features.":[50],"Similarly,":[51],"traditional":[52],"deep":[55],"learning":[56],"such":[57],"as":[58,139],"convolutional":[59],"neural":[60],"networks":[61],"require":[62],"large":[64],"amount":[65],"annotated":[67],"data":[68,157],"to":[69,76,113],"learn":[70],"from,":[71],"which":[72,95,130],"often":[74],"difficult":[75],"obtain":[77],"in":[78,108,129],"medical":[80],"domain.":[81],"Here,":[82],"we":[83,121],"describe":[84],"new":[86],"model":[87,105,112,152],"two-pathway-group":[88,127],"CNN":[89,111,128,136,165],"architecture":[90,125,170],"exploits":[96],"local":[97],"features":[98,102],"global":[100],"contextual":[101],"simultaneously.":[103],"This":[104],"enforces":[106],"equivariance":[107],"two-pathway":[110],"reduce":[114],"instabilities":[115],"overfitting":[117],"parameter":[118],"sharing.":[119],"Finally,":[120],"embed":[122],"cascade":[124],"into":[126,166],"output":[132],"basic":[135],"treated":[138],"an":[140],"additional":[141],"source":[142],"concatenated":[144],"at":[145],"last":[147],"layer.":[148],"Validation":[149],"on":[153],"BRATS2013":[154],"BRATS2015":[156],"sets":[158],"revealed":[159],"that":[160],"embedding":[161],"group":[164],"two":[168],"pathway":[169],"improved":[171],"overall":[173],"performance":[174],"over":[175],"currently":[177],"published":[178],"state-of-the-art":[179],"while":[180],"computational":[181],"complexity":[182],"remains":[183],"attractive.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":43},{"year":2022,"cited_by_count":47},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":6}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}