{"id":"https://openalex.org/W4320002875","doi":"https://doi.org/10.1109/access.2023.3240216","title":"Classification of Liver Fibrosis From Heterogeneous Ultrasound Image","display_name":"Classification of Liver Fibrosis From Heterogeneous Ultrasound Image","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320002875","doi":"https://doi.org/10.1109/access.2023.3240216"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3240216","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3240216","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10026830.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/ielx7/6287639/10005208/10026830.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045192833","display_name":"Yunsang Joo","orcid":null},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yunsang Joo","raw_affiliation_strings":["Department of Computer Engineering, Gachon University, Seongnam, Sujeong, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-9953-9406","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, Seongnam, Sujeong, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101581917","display_name":"Hyun-Cheol Park","orcid":"https://orcid.org/0000-0001-8280-4026"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Cheol Park","raw_affiliation_strings":["Department of Artificial Intelligence, Gachon University, Seongnam, Sujeong, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Gachon University, Seongnam, Sujeong, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069645890","display_name":"O\u2010Joun Lee","orcid":"https://orcid.org/0000-0001-8921-5443"},"institutions":[{"id":"https://openalex.org/I87111246","display_name":"Catholic University of Korea","ror":"https://ror.org/01fpnj063","country_code":"KR","type":"education","lineage":["https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"O-Joun Lee","raw_affiliation_strings":["Department of Artificial Intelligence, The Catholic University, Seoul, Jongno, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8921-5443","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, The Catholic University, Seoul, Jongno, Republic of Korea","institution_ids":["https://openalex.org/I87111246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085165363","display_name":"Changhan Yoon","orcid":"https://orcid.org/0000-0002-6573-2582"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changhan Yoon","raw_affiliation_strings":["Department of Biomedical Engineering, Inje University, Gimhae, Inje, Republic of Korea","Department of Nanoscience Engineering, Inje University, Gimhae, Inje, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6573-2582","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Inje University, Gimhae, Inje, Republic of Korea","institution_ids":["https://openalex.org/I104338594"]},{"raw_affiliation_string":"Department of Nanoscience Engineering, Inje University, Gimhae, Inje, Republic of Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029495151","display_name":"Moon Hyung Choi","orcid":"https://orcid.org/0000-0001-5962-4772"},"institutions":[{"id":"https://openalex.org/I87111246","display_name":"Catholic University of Korea","ror":"https://ror.org/01fpnj063","country_code":"KR","type":"education","lineage":["https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moon Hyung Choi","raw_affiliation_strings":["Department of Radiology, The Catholic University, Seoul, Banpo, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, The Catholic University, Seoul, Banpo, Republic of Korea","institution_ids":["https://openalex.org/I87111246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101410165","display_name":"Chang Choi","orcid":"https://orcid.org/0000-0002-2276-2378"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang Choi","raw_affiliation_strings":["Department of Computer Engineering, Gachon University, Seongnam, Sujeong, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2276-2378","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, Seongnam, Sujeong, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5045192833"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.6911,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96488752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"9920","last_page":"9930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9919000267982483,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9919000267982483,"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/T13693","display_name":"Smart Systems and Machine Learning","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10862","display_name":"AI in cancer detection","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7988854646682739},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.768334150314331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6984959840774536},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6246936321258545},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5640292763710022},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5621459484100342},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5416936874389648},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5018875598907471},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49584779143333435},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.469601035118103},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43778079748153687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4240216016769409},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.41226324439048767},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4100061058998108},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34475836157798767},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2542684078216553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7988854646682739},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.768334150314331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6984959840774536},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6246936321258545},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5640292763710022},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5621459484100342},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5416936874389648},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5018875598907471},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49584779143333435},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.469601035118103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43778079748153687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4240216016769409},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.41226324439048767},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4100061058998108},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34475836157798767},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2542684078216553},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3240216","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3240216","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10026830.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:533fb229671145cdb0c867665cfa0c01","is_oa":true,"landing_page_url":"https://doaj.org/article/533fb229671145cdb0c867665cfa0c01","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 9920-9930 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3240216","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3240216","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10026830.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":[],"awards":[{"id":"https://openalex.org/G2632280777","display_name":null,"funder_award_id":"2021R1A2B5B02087169","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3259607015","display_name":null,"funder_award_id":"GCU-202103440001","funder_id":"https://openalex.org/F4320321366","funder_display_name":"Gachon University"},{"id":"https://openalex.org/G921252724","display_name":null,"funder_award_id":"2021R1A2B5B02087169","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321366","display_name":"Gachon University","ror":"https://ror.org/03ryywt80"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4320002875.pdf","grobid_xml":"https://content.openalex.org/works/W4320002875.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1979482831","https://openalex.org/W2129623206","https://openalex.org/W2194775991","https://openalex.org/W2533800772","https://openalex.org/W2559435482","https://openalex.org/W2600174524","https://openalex.org/W2767106145","https://openalex.org/W2782730293","https://openalex.org/W2809598685","https://openalex.org/W2887280559","https://openalex.org/W2896842408","https://openalex.org/W2900594567","https://openalex.org/W2913559493","https://openalex.org/W2936503027","https://openalex.org/W2941964694","https://openalex.org/W2954996726","https://openalex.org/W2955425717","https://openalex.org/W2955429674","https://openalex.org/W2963446712","https://openalex.org/W2972256375","https://openalex.org/W2989219518","https://openalex.org/W2994903085","https://openalex.org/W2995942064","https://openalex.org/W3000155670","https://openalex.org/W3002581322","https://openalex.org/W3002592716","https://openalex.org/W3002876351","https://openalex.org/W3005136076","https://openalex.org/W3017309755","https://openalex.org/W3025576489","https://openalex.org/W3101774563","https://openalex.org/W3105809585","https://openalex.org/W3106904274","https://openalex.org/W3135728647","https://openalex.org/W3140854437","https://openalex.org/W3168071167","https://openalex.org/W3171125843","https://openalex.org/W4200413493","https://openalex.org/W4253486598","https://openalex.org/W6637373629","https://openalex.org/W6687483927","https://openalex.org/W6762718338","https://openalex.org/W6763509872","https://openalex.org/W6771782695","https://openalex.org/W6786585107"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4394895745","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3024479225","https://openalex.org/W4323287533","https://openalex.org/W3171371563","https://openalex.org/W3003847115"],"abstract_inverted_index":{"With":[0],"the":[1,27,34,65,69,73,84,112,118,124,141,144,161,173,179,184,194,203,209,221,226,231,242,246,250,257,261,266,293,302,308,321,329,333],"advances":[2],"in":[3,21,26,164,245,260,328],"deep":[4],"learning,":[5],"including":[6,249],"Convolutional":[7],"Neural":[8],"Networks":[9],"(CNN),":[10],"automated":[11],"diagnosis":[12,49],"technology":[13],"using":[14],"medical":[15,22],"images":[16,54],"has":[17],"received":[18],"considerable":[19],"attention":[20],"science.":[23],"In":[24,80],"particular,":[25],"field":[28],"of":[29,36,41,55,72,86,95,120,146,148,181,211,213,265,324],"ultrasound":[30,128,150],"imaging,":[31],"CNN":[32,59],"trains":[33],"features":[35,66],"organs":[37],"through":[38],"an":[39,46,99],"amount":[40],"image":[42,78],"data,":[43,163,317],"so":[44,306],"that":[45,67,94,220,241,272,307],"expert-level":[47],"automatic":[48],"is":[50,91,103,276],"possible":[51],"only":[52],"with":[53,126,225],"actual":[56,100],"patients.":[57],"However,":[58],"models":[60],"are":[61],"also":[62,270],"trained":[63],"on":[64,123,196,215,314],"reflect":[68],"inherent":[70],"bias":[71,122,304],"imaging":[74,129,151],"machine":[75,185,303],"used":[76,88,167],"for":[77,89,98,183,300],"acquisition.":[79],"other":[81],"words,":[82],"when":[83],"domain":[85,113,121,200,228,233,252,316,331],"data":[87,96,130,175,214,229,234,248,263,327],"training":[90,154,174,334],"different":[92],"from":[93,132],"applied":[97],"diagnosis,":[101],"it":[102],"unclear":[104],"whether":[105],"consistent":[106],"performance":[107,195,222,243,258,275],"can":[108,310],"be":[109],"provided":[110],"by":[111,159,282,286],"bias.":[114],"Therefore,":[115],"we":[116,170,189,206],"investigate":[117],"effect":[119,210],"model":[125,216,309],"liver":[127],"obtained":[131],"multiple":[133],"domains.":[134],"We":[135,218,238,269],"have":[136,171,190,207],"constructed":[137,176],"a":[138,165,297],"dataset":[139],"considering":[140],"manufacturer":[142],"and":[143,155,192,198,230],"year":[145],"manufacturing":[147],"8":[149],"machines.":[152],"First,":[153],"testing":[156],"were":[157],"performed":[158],"dividing":[160],"entire":[162],"commonly":[166],"method.":[168],"Second,":[169],"utilized":[172],"according":[177],"to":[178,295,320],"number":[180],"domains":[182,212],"learning":[186],"process.":[187],"Then":[188],"measured":[191,244,259],"compared":[193],"internal":[197,227,251],"external":[199,232,267,315],"data.":[201,335],"Through":[202],"above":[204],"experiment,":[205],"analyzed":[208],"performance.":[217],"show":[219,240,271],"scores":[223],"evaluated":[224],"do":[235],"not":[236],"match.":[237],"especially":[239],"evaluation":[247,262,326],"was":[253],"much":[254],"higher":[255],"than":[256],"consisting":[264],"domain.":[268],"3-level":[273],"classification":[274,281],"slightly":[277],"improved":[278],"over":[279],"5-level":[280],"mitigating":[283,301],"class":[284],"imbalance":[285],"integrating":[287],"similar":[288],"classes.":[289],"The":[290],"results":[291],"highlight":[292],"need":[294],"develop":[296],"new":[298],"methodology":[299],"problem":[305],"work":[311],"correctly":[312],"even":[313],"as":[318,332],"opposed":[319],"usual":[322],"approach":[323],"constructing":[325],"same":[330]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
