{"id":"https://openalex.org/W4415150385","doi":"https://doi.org/10.3390/jimaging11100358","title":"Lightweight Statistical and Texture Feature Approach for Breast Thermogram Analysis","display_name":"Lightweight Statistical and Texture Feature Approach for Breast Thermogram Analysis","publication_year":2025,"publication_date":"2025-10-13","ids":{"openalex":"https://openalex.org/W4415150385","doi":"https://doi.org/10.3390/jimaging11100358","pmid":"https://pubmed.ncbi.nlm.nih.gov/41150034"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11100358","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11100358","pdf_url":"https://www.mdpi.com/2313-433X/11/10/358/pdf?version=1760341685","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/11/10/358/pdf?version=1760341685","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116295856","display_name":"Ana P. Romero-Carmona","orcid":null},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ana P. Romero-Carmona","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE) Tonantzintla, Puebla 72840, Mexico"],"raw_orcid":"https://orcid.org/0009-0005-2917-1713","affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE) Tonantzintla, Puebla 72840, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010423760","display_name":"Jose Rangel\u2010Magdaleno","orcid":"https://orcid.org/0000-0003-2785-5060"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jose J. Rangel-Magdaleno","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE) Tonantzintla, Puebla 72840, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-2785-5060","affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE) Tonantzintla, Puebla 72840, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084457283","display_name":"Francisco J. Renero-Carrillo","orcid":"https://orcid.org/0000-0003-1273-4725"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Francisco J. Renero-Carrillo","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE) Tonantzintla, Puebla 72840, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-1273-4725","affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE) Tonantzintla, Puebla 72840, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084917273","display_name":"Juan Manuel Ram\u00edrez-Cort\u00e9s","orcid":"https://orcid.org/0000-0002-8515-2489"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Juan M. Ramirez-Cortes","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE) Tonantzintla, Puebla 72840, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-8515-2489","affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE) Tonantzintla, Puebla 72840, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032036781","display_name":"Hayde Peregrina\u2010Barreto","orcid":"https://orcid.org/0000-0002-8623-091X"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Hayde Peregrina-Barreto","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE) Tonantzintla, Puebla 72840, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-8623-091X","affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE) Tonantzintla, Puebla 72840, Mexico","institution_ids":["https://openalex.org/I39824353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032036781"],"corresponding_institution_ids":["https://openalex.org/I39824353"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.7059,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73612078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":"10","first_page":"358","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":1.0,"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/T11109","display_name":"Thermoregulation and physiological responses","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9513000249862671,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5871000289916992},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5443000197410583},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5415999889373779},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4844000041484833},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.42010000348091125},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4174000024795532},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.39070001244544983},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.373199999332428},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.3580999970436096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105000019073486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6406999826431274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5871000289916992},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5443000197410583},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5415999889373779},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4844000041484833},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.42010000348091125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4174000024795532},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.373199999332428},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C2779222261","wikidata":"https://www.wikidata.org/wiki/Q624587","display_name":"Thermography","level":3,"score":0.33640000224113464},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.3125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31189998984336853},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29429998993873596},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.28790000081062317},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.259799987077713},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C166921843","wikidata":"https://www.wikidata.org/wiki/Q3776487","display_name":"Statistical parameter","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.25060001015663147}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging11100358","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11100358","pdf_url":"https://www.mdpi.com/2313-433X/11/10/358/pdf?version=1760341685","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41150034","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41150034","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":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:8f04652844c341e2b2059e6153ccdabd","is_oa":true,"landing_page_url":"https://doaj.org/article/8f04652844c341e2b2059e6153ccdabd","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":"Journal of Imaging, Vol 11, Iss 10, p 358 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11372303","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12565313","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging11100358","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11100358","pdf_url":"https://www.mdpi.com/2313-433X/11/10/358/pdf?version=1760341685","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415150385.pdf","grobid_xml":"https://content.openalex.org/works/W4415150385.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1493790738","https://openalex.org/W2000139664","https://openalex.org/W2054986484","https://openalex.org/W2055437192","https://openalex.org/W2103647733","https://openalex.org/W2161336914","https://openalex.org/W2168481151","https://openalex.org/W2325015832","https://openalex.org/W2766531670","https://openalex.org/W2800123602","https://openalex.org/W2888804473","https://openalex.org/W2892490300","https://openalex.org/W2900452647","https://openalex.org/W2907648650","https://openalex.org/W2972214381","https://openalex.org/W2978849696","https://openalex.org/W2997292990","https://openalex.org/W3020578014","https://openalex.org/W3046220160","https://openalex.org/W3089263100","https://openalex.org/W3128646645","https://openalex.org/W3211851159","https://openalex.org/W3216554752","https://openalex.org/W4205531974","https://openalex.org/W4206360765","https://openalex.org/W4213113494","https://openalex.org/W4225480895","https://openalex.org/W4283009813","https://openalex.org/W4321768889","https://openalex.org/W4361793837","https://openalex.org/W4380356181","https://openalex.org/W4385210354","https://openalex.org/W4385247738","https://openalex.org/W4386365388","https://openalex.org/W4387106679","https://openalex.org/W4391939112","https://openalex.org/W4398176877","https://openalex.org/W4401205956","https://openalex.org/W4403247615","https://openalex.org/W4403431807","https://openalex.org/W4405025583","https://openalex.org/W4406410582","https://openalex.org/W4410540372"],"related_works":[],"abstract_inverted_index":{"Breast":[0],"cancer":[1,7,130],"is":[2],"the":[3,13,35,79,83,169,175],"most":[4],"commonly":[5],"diagnosed":[6],"in":[8,82,142],"women":[9],"globally":[10],"and":[11,29,56,96,116,193,201],"represents":[12],"leading":[14],"cause":[15],"of":[16,38,136,157,177,184],"mortality":[17],"related":[18],"to":[19,33,47,73,92,102,109,119,128,164,179],"malignant":[20],"tumors.":[21],"Currently,":[22],"healthcare":[23],"professionals":[24],"are":[25],"focused":[26],"on":[27,153],"developing":[28],"implementing":[30],"innovative":[31],"techniques":[32,88],"improve":[34],"early":[36],"detection":[37],"this":[39],"disease.":[40],"Thermography,":[41],"studied":[42],"as":[43,123],"a":[44,111,138,150,154,195],"complementary":[45],"method":[46],"traditional":[48],"approaches,":[49],"captures":[50],"infrared":[51],"radiation":[52],"emitted":[53],"by":[54,145,188],"tissues":[55],"converts":[57],"it":[58,161],"into":[59],"data":[60],"about":[61],"skin":[62],"surface":[63,80],"temperature.":[64],"During":[65],"tumor":[66,75],"development,":[67],"angiogenesis":[68],"occurs,":[69],"increasing":[70],"blood":[71],"flow":[72],"support":[74],"growth,":[76],"which":[77,166,207],"raises":[78],"temperature":[81],"affected":[84],"area.":[85],"Automatic":[86],"classification":[87,100],"have":[89],"been":[90],"explored":[91],"analyze":[93],"thermographic":[94],"images":[95],"develop":[97],"an":[98],"optimal":[99],"tool":[101],"identify":[103,165],"thermal":[104,132],"anomalies.":[105],"This":[106],"study":[107],"aims":[108],"design":[110],"concise":[112],"description":[113,140],"using":[114,194],"statistical":[115],"texture":[117],"features":[118,192],"accurately":[120],"classify":[121],"thermograms":[122,170],"control":[124],"or":[125],"highly":[126],"probable":[127],"be":[129],"(with":[131],"anomalies).":[133],"The":[134],"importance":[135],"employing":[137],"short":[139],"lies":[141],"facilitating":[143],"interpretation":[144],"medical":[146],"professionals.":[147],"In":[148],"contrast,":[149],"characterization":[151],"based":[152],"large":[155],"number":[156],"variables":[158],"could":[159],"make":[160],"more":[162],"challenging":[163],"values":[167],"differentiate":[168],"between":[171],"groups,":[172],"thereby":[173],"complicating":[174],"explanation":[176],"results":[178],"patients.":[180],"A":[181],"maximum":[182],"accuracy":[183],"91.97%":[185],"was":[186],"achieved":[187],"applying":[189],"only":[190],"seven":[191],"Coarse":[196],"Decision":[197],"Tree":[198],"(DT)":[199],"classifier":[200],"robust":[202],"Machine":[203],"Learning":[204],"(ML)":[205],"model,":[206],"demonstrated":[208],"competitive":[209],"performance":[210],"compared":[211],"with":[212],"previously":[213],"reported":[214],"studies.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-14T00:00:00"}
