{"id":"https://openalex.org/W2019278291","doi":"https://doi.org/10.1109/tip.2012.2235850","title":"Image Segmentation Using a Sparse Coding Model of Cortical Area V1","display_name":"Image Segmentation Using a Sparse Coding Model of Cortical Area V1","publication_year":2012,"publication_date":"2012-12-21","ids":{"openalex":"https://openalex.org/W2019278291","doi":"https://doi.org/10.1109/tip.2012.2235850","mag":"2019278291","pmid":"https://pubmed.ncbi.nlm.nih.gov/23269754"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2012.2235850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2235850","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kclpure.kcl.ac.uk/portal/en/publications/08db85aa-3422-445a-84d7-634f9f3a4c63","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069783230","display_name":"Michael Spratling","orcid":"https://orcid.org/0000-0001-9531-2813"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Michael W. Spratling","raw_affiliation_strings":["Department of Informatics, King\u2019s College London, London, UK. michael.spratling@kcl.ac.uk","Department of Information, King's College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, King\u2019s College London, London, UK. michael.spratling@kcl.ac.uk","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Department of Information, King's College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069783230"],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.556,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.80993954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"4","first_page":"1631","last_page":"1643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7415415048599243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7023177146911621},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6715927720069885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6519231200218201},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.6234659552574158},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5659623146057129},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5475763082504272},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5457732677459717},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5140084028244019},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5120647549629211},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4984259605407715},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44536063075065613},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4417819082736969},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4410802125930786},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4144285023212433},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.39664408564567566},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29781007766723633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2241521179676056}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7415415048599243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7023177146911621},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6715927720069885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6519231200218201},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.6234659552574158},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5659623146057129},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5475763082504272},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5457732677459717},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5140084028244019},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5120647549629211},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4984259605407715},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44536063075065613},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4417819082736969},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4410802125930786},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4144285023212433},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.39664408564567566},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29781007766723633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2241521179676056},{"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},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014793","descriptor_name":"Visual Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014793","descriptor_name":"Visual Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014793","descriptor_name":"Visual Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","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}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2012.2235850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2235850","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:23269754","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23269754","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 transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/08db85aa-3422-445a-84d7-634f9f3a4c63","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/08db85aa-3422-445a-84d7-634f9f3a4c63","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Spratling, M 2013, 'Image segmentation using a sparse coding model of cortical area V1', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 22, no. 4, pp. 1631-1643. https://doi.org/10.1109/TIP.2012.2235850","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/08db85aa-3422-445a-84d7-634f9f3a4c63","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/08db85aa-3422-445a-84d7-634f9f3a4c63","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Spratling, M 2013, 'Image segmentation using a sparse coding model of cortical area V1', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 22, no. 4, pp. 1631-1643. https://doi.org/10.1109/TIP.2012.2235850","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":108,"referenced_works":["https://openalex.org/W8437397","https://openalex.org/W124193289","https://openalex.org/W189913320","https://openalex.org/W1518636435","https://openalex.org/W1914401667","https://openalex.org/W1965673217","https://openalex.org/W1966897368","https://openalex.org/W1968391539","https://openalex.org/W1977297987","https://openalex.org/W1979622972","https://openalex.org/W1983024748","https://openalex.org/W1987922189","https://openalex.org/W1989066553","https://openalex.org/W1990444568","https://openalex.org/W1991605728","https://openalex.org/W1992405901","https://openalex.org/W1996822428","https://openalex.org/W2003370853","https://openalex.org/W2005327238","https://openalex.org/W2007035275","https://openalex.org/W2008043556","https://openalex.org/W2011571785","https://openalex.org/W2012093191","https://openalex.org/W2020999234","https://openalex.org/W2029683515","https://openalex.org/W2031462824","https://openalex.org/W2032424994","https://openalex.org/W2038566624","https://openalex.org/W2041182888","https://openalex.org/W2044770047","https://openalex.org/W2055001885","https://openalex.org/W2055117416","https://openalex.org/W2056459831","https://openalex.org/W2065954672","https://openalex.org/W2067305412","https://openalex.org/W2069959554","https://openalex.org/W2072973979","https://openalex.org/W2073946125","https://openalex.org/W2075724496","https://openalex.org/W2081029418","https://openalex.org/W2082855665","https://openalex.org/W2085927826","https://openalex.org/W2086374833","https://openalex.org/W2099046646","https://openalex.org/W2099877335","https://openalex.org/W2100118730","https://openalex.org/W2101534710","https://openalex.org/W2101933716","https://openalex.org/W2104524833","https://openalex.org/W2105464873","https://openalex.org/W2106254472","https://openalex.org/W2107525898","https://openalex.org/W2108992228","https://openalex.org/W2109854212","https://openalex.org/W2110158442","https://openalex.org/W2112220326","https://openalex.org/W2115205382","https://openalex.org/W2116357017","https://openalex.org/W2118718620","https://openalex.org/W2119823327","https://openalex.org/W2121927366","https://openalex.org/W2122249653","https://openalex.org/W2125237979","https://openalex.org/W2125876128","https://openalex.org/W2127928125","https://openalex.org/W2128197592","https://openalex.org/W2130904385","https://openalex.org/W2132626201","https://openalex.org/W2134394617","https://openalex.org/W2137002458","https://openalex.org/W2137234026","https://openalex.org/W2138100172","https://openalex.org/W2138924334","https://openalex.org/W2139783870","https://openalex.org/W2141564777","https://openalex.org/W2142440858","https://openalex.org/W2144063100","https://openalex.org/W2144967509","https://openalex.org/W2145023731","https://openalex.org/W2145889472","https://openalex.org/W2151061498","https://openalex.org/W2152663369","https://openalex.org/W2153663612","https://openalex.org/W2154225359","https://openalex.org/W2155767767","https://openalex.org/W2157698458","https://openalex.org/W2158261978","https://openalex.org/W2158580327","https://openalex.org/W2161536125","https://openalex.org/W2162002414","https://openalex.org/W2163621652","https://openalex.org/W2164390922","https://openalex.org/W2165914352","https://openalex.org/W2166689701","https://openalex.org/W2172174689","https://openalex.org/W2403353418","https://openalex.org/W2533517198","https://openalex.org/W2536599074","https://openalex.org/W2990138404","https://openalex.org/W3102022959","https://openalex.org/W4214649671","https://openalex.org/W4238293977","https://openalex.org/W4245785860","https://openalex.org/W4251439160","https://openalex.org/W6600324250","https://openalex.org/W6605056167","https://openalex.org/W6631193057","https://openalex.org/W6677759377"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W2162427980","https://openalex.org/W3004790527","https://openalex.org/W4205656132","https://openalex.org/W2998105788","https://openalex.org/W2539392819","https://openalex.org/W2111634407","https://openalex.org/W2783282829","https://openalex.org/W2579633471"],"abstract_inverted_index":{"Algorithms":[0],"that":[1,45],"encode":[2],"images":[3],"using":[4,81,109],"a":[5,22,41,86],"sparse":[6,42],"set":[7],"of":[8,18,21,56,69],"basis":[9],"functions":[10],"have":[11,28],"previously":[12,47],"been":[13,29,48],"shown":[14,92],"to":[15,50,66,80,93,108],"explain":[16],"aspects":[17],"the":[19,53,67,95,110],"physiology":[20],"primary":[23,61],"visual":[24,62],"cortex":[25],"(V1),":[26],"and":[27,38],"used":[30,49],"for":[31,52],"applications,":[32],"such":[33],"as":[34],"image":[35,98],"compression,":[36],"restoration,":[37],"classification.":[39],"Here,":[40],"coding":[43],"algorithm,":[44],"has":[46],"account":[51],"response":[54],"properties":[55],"orientation":[57],"tuned":[58],"cells":[59],"in":[60],"cortex,":[63],"is":[64,77,91,105],"applied":[65],"task":[68],"perceptually":[70],"salient":[71],"boundary":[72],"detection.":[73],"The":[74],"proposed":[75],"algorithm":[76],"currently":[78],"limited":[79],"only":[82],"intensity":[83],"information":[84],"at":[85],"single":[87],"scale.":[88],"However,":[89],"it":[90],"out-perform":[94],"current":[96],"state-of-the-art":[97],"segmentation":[99],"method":[100,104],"(Pb)":[101],"when":[102],"this":[103],"also":[106],"restricted":[107],"same":[111],"information.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
