{"id":"https://openalex.org/W3186745756","doi":"https://doi.org/10.1109/mwc.001.2000374","title":"Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health","display_name":"Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3186745756","doi":"https://doi.org/10.1109/mwc.001.2000374","mag":"3186745756"},"language":"en","primary_location":{"id":"doi:10.1109/mwc.001.2000374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwc.001.2000374","pdf_url":null,"source":{"id":"https://openalex.org/S146764194","display_name":"IEEE Wireless Communications","issn_l":"1536-1284","issn":["1536-1284","1558-0687"],"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 Wireless Communications","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":"https://openalex.org/A5076994242","display_name":"Keping Yu","orcid":"https://orcid.org/0000-0001-5735-2507"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Keping Yu","raw_affiliation_strings":["Sichuan Normal University, China","Waseda University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Normal University, China","institution_ids":["https://openalex.org/I63354593"]},{"raw_affiliation_string":"Waseda University, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036400955","display_name":"Liang Tan","orcid":"https://orcid.org/0000-0002-7363-6697"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Tan","raw_affiliation_strings":["Chinese Academy of Sciences, China","Sichuan Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Sichuan Normal University, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101531762","display_name":"Long Lin","orcid":"https://orcid.org/0000-0003-4711-1704"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Lin","raw_affiliation_strings":["Sichuan Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Normal University, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054051993","display_name":"Xiaofan Cheng","orcid":"https://orcid.org/0000-0001-6814-8755"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Cheng","raw_affiliation_strings":["Sichuan Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Normal University, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051925303","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0003-3045-409X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yi","raw_affiliation_strings":["Sichuan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052661964","display_name":"Takuro Sato","orcid":"https://orcid.org/0000-0001-5973-164X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takuro Sato","raw_affiliation_strings":["Waseda University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076994242"],"corresponding_institution_ids":["https://openalex.org/I63354593"],"apc_list":null,"apc_paid":null,"fwci":25.323,"has_fulltext":false,"cited_by_count":268,"citation_normalized_percentile":{"value":0.99840893,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"28","issue":"3","first_page":"54","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9905999898910522,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.7419655323028564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6531040072441101},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.557133138179779},{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.5417163968086243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44129419326782227},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4246114194393158},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.412385493516922},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3861253261566162},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.3315211832523346},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2958718538284302}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.7419655323028564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6531040072441101},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.557133138179779},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.5417163968086243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44129419326782227},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4246114194393158},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.412385493516922},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3861253261566162},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3315211832523346},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2958718538284302},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwc.001.2000374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwc.001.2000374","pdf_url":null,"source":{"id":"https://openalex.org/S146764194","display_name":"IEEE Wireless Communications","issn_l":"1536-1284","issn":["1536-1284","1558-0687"],"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 Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G5043730286","display_name":null,"funder_award_id":"JP18K18044,JP21 K17736","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6609011191","display_name":"\u53ef\u4fe1\u5e73\u53f0\u6a21\u5757\u865a\u62df\u5316\u95ee\u9898\u7814\u7a76","funder_award_id":"61373162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2146934744","https://openalex.org/W2404293582","https://openalex.org/W2804935296","https://openalex.org/W2889646458","https://openalex.org/W2901676582","https://openalex.org/W2912407775","https://openalex.org/W2921635086","https://openalex.org/W2946008609","https://openalex.org/W3003456808","https://openalex.org/W3006322526","https://openalex.org/W3019839747","https://openalex.org/W3082781169","https://openalex.org/W3111084717","https://openalex.org/W3117379804","https://openalex.org/W4294375521","https://openalex.org/W6682778277","https://openalex.org/W6783273005"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W3203175338","https://openalex.org/W2356901839","https://openalex.org/W3209501579","https://openalex.org/W2497114785","https://openalex.org/W2969547062","https://openalex.org/W4283162910","https://openalex.org/W2803806723","https://openalex.org/W4245578471","https://openalex.org/W2611989081"],"abstract_inverted_index":{"Breast":[0],"cancer,":[1],"the":[2,26,45,77,91,160,202,210],"most":[3],"common":[4],"cancer":[5,30,82,95,123,215],"in":[6,22,62,216],"women,":[7],"is":[8,73,163,176],"receiving":[9],"increasing":[10],"attention.":[11],"The":[12,38],"lack":[13],"of":[14,28,40,80],"high-quality":[15],"medical":[16],"resources,":[17],"especially":[18],"highly":[19,92],"skilled":[20,93],"doctors,":[21],"remote":[23,41,86,128,137,186,217],"areas":[24,87,218],"makes":[25],"diagnosis":[27,109,125,184],"breast":[29,81,94,122,142,214],"inefficient":[31],"and":[32,88,134,153,192],"causes":[33],"great":[34],"harm":[35],"to":[36,47,68,75,104,165,168,219],"women.":[37],"emergence":[39],"e-health":[42,129],"has":[43],"improved":[44],"situation":[46],"a":[48,120,154,170],"certain":[49],"extent,":[50],"but":[51,207],"its":[52],"capabilities":[53],"are":[54,101,145],"still":[55],"hampered":[56],"by":[57,131],"technical":[58],"limitations,":[59,71,116],"which":[60],"manifest":[61],"two":[63,203],"main":[64],"aspects.":[65],"First,":[66],"due":[67],"network":[69,162],"bandwidth":[70],"it":[72],"difficult":[74],"guarantee":[76],"real-time":[78],"transmission":[79],"pathology":[83,143],"images":[84,144],"between":[85],"cities.":[89],"Second,":[90],"doctors":[96],"at":[97,110,185],"large":[98],"city":[99],"hospitals":[100,150],"not":[102,199],"guaranteed":[103],"be":[105],"available":[106],"for":[107,127,182,213],"online":[108],"all":[111],"times.":[112],"To":[113],"overcome":[114],"these":[115],"this":[117,140,197],"article":[118],"proposes":[119],"deep-learning-empowered":[121],"auxiliary":[124,183],"scheme":[126],"supported":[130],"5G":[132],"technology":[133],"beyond":[135],"(5GB":[136],"e-health).":[138],"In":[139],"scheme,":[141],"first":[146],"received":[147],"from":[148],"major":[149],"via":[151],"5G,":[152],"deep":[155],"learning":[156,167],"model":[157,175],"based":[158],"on":[159,179],"Inception-v3":[161],"subjected":[164],"transfer":[166],"obtain":[169],"diagnostic":[171,174,211],"model.":[172],"This":[173],"then":[177],"employed":[178],"edge":[180],"servers":[181],"area":[187],"hospitals.":[188],"A":[189],"theoretical":[190],"analysis":[191],"experimental":[193],"results":[194],"show":[195],"that":[196],"solution":[198],"only":[200],"overcomes":[201],"problems":[204],"mentioned":[205],"above":[206],"also":[208],"improves":[209],"accuracy":[212],"98.19":[220],"percent.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":116},{"year":2021,"cited_by_count":63}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}