{"id":"https://openalex.org/W3201630944","doi":"https://doi.org/10.1155/2021/7773473","title":"Comparison of Effects of Radiofrequency Ablation of Liver Cancer Guided by CT Images Based on Deep Learning Algorithm","display_name":"Comparison of Effects of Radiofrequency Ablation of Liver Cancer Guided by CT Images Based on Deep Learning Algorithm","publication_year":2021,"publication_date":"2021-09-10","ids":{"openalex":"https://openalex.org/W3201630944","doi":"https://doi.org/10.1155/2021/7773473","mag":"3201630944"},"language":"en","primary_location":{"id":"doi:10.1155/2021/7773473","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/7773473","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/7773473.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/7773473.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101531736","display_name":"Kai Huang","orcid":"https://orcid.org/0000-0002-3725-7753"},"institutions":[{"id":"https://openalex.org/I4210165547","display_name":"Dezhou University","ror":"https://ror.org/05mnjs436","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165547"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Huang","raw_affiliation_strings":["Department of Infectious Diseases, Dezhou People\u2019s Hospital, Dezhou 253014, China"],"raw_orcid":"https://orcid.org/0000-0002-3725-7753","affiliations":[{"raw_affiliation_string":"Department of Infectious Diseases, Dezhou People\u2019s Hospital, Dezhou 253014, China","institution_ids":["https://openalex.org/I4210165547"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102819702","display_name":"Tongqing Zhang","orcid":"https://orcid.org/0000-0003-0170-2162"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tongqing Zhang","raw_affiliation_strings":["Department of Laboratory, Dezhou Municipal Hospital Branch, Dezhou 253016, China"],"raw_orcid":"https://orcid.org/0000-0003-0170-2162","affiliations":[{"raw_affiliation_string":"Department of Laboratory, Dezhou Municipal Hospital Branch, Dezhou 253016, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101754529","display_name":"Zhiliang He","orcid":"https://orcid.org/0000-0002-4269-8182"},"institutions":[{"id":"https://openalex.org/I4210104616","display_name":"Taizhou Municipal Hospital","ror":"https://ror.org/027gw7s27","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210104616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiliang He","raw_affiliation_strings":["Department of Medical Imaging, Dezhou Municipal Hospital Branch, Dezhou 253016, China"],"raw_orcid":"https://orcid.org/0000-0002-4269-8182","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Dezhou Municipal Hospital Branch, Dezhou 253016, China","institution_ids":["https://openalex.org/I4210104616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101747074","display_name":"Fengxia Wang","orcid":"https://orcid.org/0000-0002-1927-4648"},"institutions":[{"id":"https://openalex.org/I4210165547","display_name":"Dezhou University","ror":"https://ror.org/05mnjs436","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165547"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fengxia Wang","raw_affiliation_strings":["Department of Infectious Diseases, Dezhou People\u2019s Hospital, Dezhou 253014, China"],"raw_orcid":"https://orcid.org/0000-0002-1927-4648","affiliations":[{"raw_affiliation_string":"Department of Infectious Diseases, Dezhou People\u2019s Hospital, Dezhou 253014, China","institution_ids":["https://openalex.org/I4210165547"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101747074"],"corresponding_institution_ids":["https://openalex.org/I4210165547"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20669193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9922000169754028,"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"}},{"id":"https://openalex.org/T13027","display_name":"Applied Advanced Technologies","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/medicine","display_name":"Medicine","score":0.7437905669212341},{"id":"https://openalex.org/keywords/radiofrequency-ablation","display_name":"Radiofrequency ablation","score":0.7421483993530273},{"id":"https://openalex.org/keywords/hepatocellular-carcinoma","display_name":"Hepatocellular carcinoma","score":0.6145453453063965},{"id":"https://openalex.org/keywords/ablation","display_name":"Ablation","score":0.6097270250320435},{"id":"https://openalex.org/keywords/liver-cancer","display_name":"Liver cancer","score":0.5944284796714783},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.4297686815261841},{"id":"https://openalex.org/keywords/incidence","display_name":"Incidence (geometry)","score":0.4224804639816284},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.4195174276828766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4085516631603241},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3964868485927582},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1921103298664093},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11252984404563904},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07201194763183594}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7437905669212341},{"id":"https://openalex.org/C2777377203","wikidata":"https://www.wikidata.org/wiki/Q1809554","display_name":"Radiofrequency ablation","level":3,"score":0.7421483993530273},{"id":"https://openalex.org/C2778019345","wikidata":"https://www.wikidata.org/wiki/Q1148337","display_name":"Hepatocellular carcinoma","level":2,"score":0.6145453453063965},{"id":"https://openalex.org/C2778902805","wikidata":"https://www.wikidata.org/wiki/Q322177","display_name":"Ablation","level":2,"score":0.6097270250320435},{"id":"https://openalex.org/C2776231280","wikidata":"https://www.wikidata.org/wiki/Q623031","display_name":"Liver cancer","level":3,"score":0.5944284796714783},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.4297686815261841},{"id":"https://openalex.org/C61511704","wikidata":"https://www.wikidata.org/wiki/Q1671857","display_name":"Incidence (geometry)","level":2,"score":0.4224804639816284},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.4195174276828766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4085516631603241},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3964868485927582},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1921103298664093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11252984404563904},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07201194763183594}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/7773473","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/7773473","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/7773473.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:012b301cd6d04330b8805853082d2e8d","is_oa":false,"landing_page_url":"https://doaj.org/article/012b301cd6d04330b8805853082d2e8d","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2021/7773473","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7773473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"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":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2021/7773473","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/7773473","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/7773473.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8100000023841858,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3201630944.pdf","grobid_xml":"https://content.openalex.org/works/W3201630944.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2216458110","https://openalex.org/W2262538465","https://openalex.org/W2335930270","https://openalex.org/W2519584781","https://openalex.org/W2950609183","https://openalex.org/W2977466202","https://openalex.org/W6688194736"],"related_works":["https://openalex.org/W2417822880","https://openalex.org/W2809701302","https://openalex.org/W3029453443","https://openalex.org/W2316468655","https://openalex.org/W3110374601","https://openalex.org/W3091350106","https://openalex.org/W2378863257","https://openalex.org/W2382110908","https://openalex.org/W2374127315","https://openalex.org/W3029634737"],"abstract_inverted_index":{"Objective.":[0],"To":[1],"investigate":[2],"the":[3,22,55,79,86,93,101,109,112,150,202,212,239],"paper":[4],"radiofrequency":[5],"ablation":[6,84,155,206,243],"(RFA)":[7],"CT-guided":[8,44,62,225,242],"feasibility":[9],"of":[10,21,24,31,34,43,60,73,95,98,111,114,178,215,228],"hepatocellular":[11],"carcinoma":[12],"(primary":[13],"liver":[14,36,45,63,230],"cancer)":[15],"treatment,":[16],"safety,":[17],"and":[18,83,100,119,157,184,217,236],"clinical":[19],"efficacy":[20,110],"use":[23],"deep":[25],"learning":[26],"algorithms.":[27],"Method.":[28],"A":[29],"total":[30,80,151],"47":[32,126],"cases":[33,42,59],"primary":[35,229],"cancer":[37,231],"patients":[38,74,127,232],"were":[39,75,128,134],"included:":[40],"21":[41],"lesions":[46,64,115,210],"in":[47,54,65,92,116,149,175,201],"line":[48,66],"with":[49,67,221],"RFA":[50,68,226],"(C-CT":[51],"group)":[52],"and,":[53],"same":[56],"period,":[57],"26":[58],"spiral":[61,241],"(S-CT":[69],"group).":[70],"Two":[71],"groups":[72,219],"recorded":[76,106],"immediately":[77],"after":[78,122],"operation":[81,152],"time":[82,153],"time,":[85,156],"acceptable":[87,158],"radiation":[88,159],"dose":[89],"was":[90,105,137,163,189],"observed":[91],"incidence":[94],"postoperative":[96,102,176,181],"complications":[97,177],"7d,":[99],"hospital":[103,182],"stay":[104],"to":[107,238],"evaluate":[108],"treatment":[113,227],"1,":[117],"3,":[118],"6":[120],"months":[121],"RFA.":[123],"Results.":[124],"All":[125],"successful;":[129],"two":[130],"technical":[131],"success":[132],"rates":[133],"100%.":[135],"There":[136,188],"a":[138,190],"significant":[139,165,191],"difference":[140,166,192],"(":[141,167,193],"<math":[142,168,194],"xmlns=\"http://www.w3.org/1998/Math/MathML\"":[143,169,195],"id=\"M1\">":[144],"<mi>P</mi>":[145,171,197],"</math>":[146,172,198],"&lt;":[147,173,199],"0.05)":[148,174,200],"groups,":[154,180],"dose.":[160],"And":[161],"there":[162],"no":[164],"id=\"M2\">":[170],"7d":[179],"stay,":[183],"local":[185],"disease":[186],"control.":[187],"id=\"M3\">":[196],"S-CT":[203],"group,":[204],"seven":[205],"residual":[207],"or":[208],"recurrent":[209],"during":[211],"follow-up":[213],"ratio":[214],"26.9%,":[216],"C-CT":[218],"compared":[220],"only":[222],"14.3%.":[223],"Conclusion.":[224],"is":[233],"safe,":[234],"effective,":[235],"superior":[237],"conventional":[240],"lesion":[244],"site-specific":[245],"terms.":[246]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}