{"id":"https://openalex.org/W4413134459","doi":"https://doi.org/10.1142/s0218126625504407","title":"Medical Image Diagnosis Method Based on Hybrid Neural Network in Medical IoT Scenarios","display_name":"Medical Image Diagnosis Method Based on Hybrid Neural Network in Medical IoT Scenarios","publication_year":2025,"publication_date":"2025-08-07","ids":{"openalex":"https://openalex.org/W4413134459","doi":"https://doi.org/10.1142/s0218126625504407"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126625504407","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625504407","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qi Gao","orcid":"https://orcid.org/0009-0005-8093-1546"},"institutions":[{"id":"https://openalex.org/I4210160794","display_name":"Baotou Medical College","ror":"https://ror.org/04t44qh67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Gao","raw_affiliation_strings":["Department of Computer Science and Technology, Baotou Medical College, Baotou 014040, Inner Mongolia, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0005-8093-1546","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Baotou Medical College, Baotou 014040, Inner Mongolia, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210160794"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yuan Liu","orcid":"https://orcid.org/0009-0002-2221-597X"},"institutions":[{"id":"https://openalex.org/I4210160794","display_name":"Baotou Medical College","ror":"https://ror.org/04t44qh67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Baotou Medical College, Baotou 014040, Inner Mongolia, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0002-2221-597X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Baotou Medical College, Baotou 014040, Inner Mongolia, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210160794"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210160794"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22801851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"05","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8343999981880188,"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":0.8343999981880188,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.8270000219345093,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6324985027313232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5863466262817383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5625527501106262},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5474966764450073},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4827827513217926},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4398479163646698},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3986007571220398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3422642648220062}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6324985027313232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863466262817383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5625527501106262},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5474966764450073},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4827827513217926},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4398479163646698},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3986007571220398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3422642648220062}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126625504407","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625504407","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1989672937","https://openalex.org/W2015086620","https://openalex.org/W2058682222","https://openalex.org/W2907066882","https://openalex.org/W3000870501","https://openalex.org/W3004707432","https://openalex.org/W3011743383","https://openalex.org/W3014047622","https://openalex.org/W3022291895","https://openalex.org/W3118641146","https://openalex.org/W3149452572","https://openalex.org/W3155361587","https://openalex.org/W3166354585","https://openalex.org/W3217167023","https://openalex.org/W4205829078","https://openalex.org/W4210655294","https://openalex.org/W4224215706","https://openalex.org/W4280602772","https://openalex.org/W4313509986","https://openalex.org/W4313893924","https://openalex.org/W4360860510","https://openalex.org/W4385452309","https://openalex.org/W4386746261","https://openalex.org/W4391451187","https://openalex.org/W4400656873","https://openalex.org/W4404914681"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W4410295802","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W4361251261","https://openalex.org/W3031181660"],"abstract_inverted_index":{"With":[0],"the":[1,10,51,65,85,93,96,107,126,179,185],"rapid":[2],"development":[3],"of":[4,7,59,88,95,184],"medical":[5,16,34,53,67,108,160],"Internet":[6],"Things":[8],"technology,":[9],"ability":[11],"to":[12,25,37,83,177,200],"acquire":[13],"and":[14,30,43,64,77,91,135,145,181,197],"process":[15],"image":[17,35,68,109,161],"data":[18,36],"has":[19,128],"been":[20],"significantly":[21],"improved.":[22],"However,":[23],"how":[24],"extract":[26],"valuable":[27],"information":[28],"quickly":[29],"accurately":[31],"from":[32],"massive":[33],"assist":[38],"doctors":[39],"in":[40,72,79,99,113,131,157,188],"disease":[41],"diagnosis":[42,110],"treatment":[44],"is":[45],"still":[46],"a":[47,117],"major":[48],"challenge":[49],"facing":[50],"current":[52],"field.":[54],"The":[55,102,138,173],"F1":[56,119],"value":[57,120],"performance":[58,87],"CNN,":[60],"MH-Net,":[61],"GMDH,":[62],"HCT-net":[63,146],"new":[66],"diagnostic":[69,86,151,204],"model":[70,90,97,111,127,186],"proposed":[71,98,112,187],"this":[73,100,114,189],"study":[74,115],"was":[75],"compared":[76],"analyzed":[78],"multiple":[80],"iterations,":[81,123],"aiming":[82],"evaluate":[84],"each":[89],"verify":[92],"validity":[94],"study.":[101],"experimental":[103],"results":[104],"show":[105],"that":[106,125,142],"shows":[116],"high":[118],"under":[121],"most":[122],"indicating":[124],"significant":[129],"advantages":[130],"comprehensive":[132],"evaluation":[133],"accuracy":[134],"recall":[136],"rate.":[137],"experiment":[139],"also":[140,148],"found":[141],"although":[143],"GMDH":[144],"models":[147],"have":[149,154],"certain":[150],"capabilities,":[152],"they":[153],"obvious":[155],"limitations":[156],"processing":[158],"complex":[159],"data,":[162],"such":[163],"as":[164],"insufficient":[165],"feature":[166],"extraction":[167],"or":[168],"limited":[169],"pattern":[170],"recognition":[171],"ability.":[172],"research":[174],"will":[175],"continue":[176],"optimize":[178],"structure":[180],"parameter":[182],"Settings":[183],"study,":[190],"while":[191],"exploring":[192],"more":[193],"advanced":[194],"network":[195],"structures":[196],"optimization":[198],"algorithms":[199],"further":[201],"improve":[202],"its":[203],"performance.":[205]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}