{“id”:“https://openalex.org/W4225120216“,”doi“:”https://doi.org/10.1111/coin.12528“,”title“:”Real\u2010time COVID\u201019 detection over chest x\u2010ray images in edge computing“,”display_name“:”在边缘计算中实时检测胸部x\u2010射线图像“,”publication_year“:2022,”publitation_date“:”2022-04-30“,”ids“:{”openalex“:”https://openalex.org/W4225120216“,”doi“:”https://doi.org/10.1111/coin.12528“,”pmid“:”https://pubmed.ncbi.nlm.nih.gov/35941908“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1111/coin.12528,“pdf_url”:https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.12528,“源”:{“id”:https://openalex.org/S56561474“,”display_name“:”计算智能“,”issn_l“:”0824-7935“,”isn“:[”08247935“,”1467-8640“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310320503“,”“host_organization_name”:“Wiley-Blackwell”,“host_organization_lineage”:[“https://openalex.org/P4310320503","https://openalex.org/P4310320595“],”host_organization_lineage_names“:[”Wiley-Blackwell“,”Wiley“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”type“:”article“,”type_crossref“:“jornal-article”,“indexed_in”:[”crossref“,“publimed”],“open_access”:{“is_oa”:true,“oa_status“:”青铜“,”oa_url“:”https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.12528“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5055379843“,”display_name“:”徐伟杰“,”兽人“:”https://orcid.org/0009-0005-0982-3278},“机构”:[{“id”:https://openalex.org/I200845125“,”display_name“:”南京信息科技大学“,”ror“:”https://ror.org/02y0rxk19“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I200845125“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”徐伟杰“,”raw关联字符串“:[“南京信息科技大学计算机科学学院,中国南京210044”]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5078100598“,”display_name“:”Beijing Chen“,”orcid“:”https://orcid.org/0000-0002-2506-0427},“机构”:[{“id”:https://openalex.org/I200845125“,”display_name“:”南京信息科技大学“,”ror“:”https://ror.org/02y0rxk19“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I200845125“]}],”国家“:[”CN“],”is_corresponding“:true,”raw_author_name“:”Beijing Chen“,”rau_affiliation_strings“:[“南京信息科技大学计算机学院,中国南京210044”]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5073668152“,”display_name“:”石浩洋“,”orcid“:”https://orcid.org/0009-0000-1099-9055},“机构”:[{“id”:https://openalex.org/I200845125“,”display_name“:”南京信息科技大学“,”ror“:”https://ror.org/02y0rxk19“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I200845125“]}],”countries“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Haoyang Shi“,”raw关联字符串“:[“南京信息科技大学计算机学院,中国南京210044”]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5022028229“,”display_name“:”田黄“,”兽人“:”https://orcid.org/0000-0002-1068-4114},“机构”:[{“id”:https://openalex.org/I200845125“,”display_name“:”南京信息科技大学“,”ror“:”https://ror.org/02y0rxk19“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I200845125“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”郝田“,”raw关联字符串“:[“南京信息科技大学计算机科学学院,中国南京210044”]},{“author_position”:“last”,“author”:{“id”:“https://openalex.org/A5078501534“,”display_name“:”Xueqing Xu“,”orcid“:”https://orcid.org/0000-0003-3876-8712},“机构”:[{“id”:https://openalex.org/I200845125“,”display_name“:”南京信息科技大学“,”ror“:”https://ror.org/02y0rxk19“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I200845125“]},{”id“:”https://openalex.org/I881766915“,”display_name“:”南京大学“,”ror“:”https://ror.org/01rxvg760“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I881766915“]}],”countries“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Xiaolong Xu“,”rau_affiliation_strings“:【”南京信息科技大学计算机科学学院,210044南京“,”南京大学新软件技术国家重点实验室“]}】,“countries_distict_count”:1,“institutions_distinct_count“:2,”对应的_author_id“:[”https://openalex.org/A5078100598“],”对应的机构ID“:[”https://openalex.org/I200845125“],”apc_list“:{”value“:3450,”currency“:”USD“,”value_USD“:3450,”出处“:”doaj“},”apc_payed“:{”value“:3450,”currency“:”USD“,”value_USD“:3450,”出处“:”doaj“},”has_fulltext“:false,”cited_by_count“:2,”cited_by_percentle_year“:{”min“:77,”max“:82},”biblio“:{”volume“:”39“,”issue“:”1“,”first_page“:”36“,”last_page“:”57“},”is_retracted“:false,”is_paratext“:false,”primary_topic“:{”id“:”https://openalex.org/T11775“,”“display_name”:“深度学习在医学成像中的应用”,“score”:1.0,“subfield”:{“id”:“https://openalex.org/subfields/2741“,”“display_name”:“放射、核医学和成像”},“字段”:{“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”:“深度学习在医学成像中的应用”,“score”:1.0,“subfield”:{“id”:“https://openalex.org/subfields/2741“,”“display_name”:“放射、核医学和成像”},“字段”:{“id”:“https://openalex.org/fields/27“,”display_name“:”Medicine“},”domain“:{”id“:”https://openalex.org/domains/4“,”“display_name”:“健康科学”}},{”id“:”https://openalex.org/T11512“,”“display_name”:“高维数据中的异常检测”,“score”:0.9925,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10862“,”display_name“:”医学图像分析深度学习“,”score“:0.9802,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/关键字/ct-scan“,”display_name“:”CT扫描“,”score“:0.524265},{”id“:”https://openalex.org/keywords/computer-aided检测“,”display_name“:”计算机辅助检测“,”score“:0.509558},{”id“:”https://openalex.org/keywords/chest-x光“,”display_name“:”胸部X光“,”score“:0.500801}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198(网址:https://www.wikidata.org/wiki/Q21198)“,”display_name“:”计算机科学“,”level“:0,”score“:0.7828235},{”id“:”https://openalex.org/C81363708,“wikidata”:https://www.wikidata.org/wiki/Q17084460“,”display_name“:”卷积神经网络“,”level“:2,”score“:0.71282405},{”id“:”https://openalex.org/C3008058167,“wikidata”:https://www.wikidata.org/wiki/Q84263196“,”display_name“:”2019年冠状病毒病(COVID-19)“,”level“:4,”score“:0.56125987},{”id“:”https://openalex.org/C2778456923,“wikidata”:https://www.wikidata.org/wiki/Q5337692“,”display_name“:”边缘计算“,”level“:3,”score“:0.50651515},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.49975514},{”id“:”https://openalex.org/C2778869765,“wikidata”:https://www.wikidata.org/wiki/Q6028363“,”display_name“:”低效“,”level“:2,”score“:0.475636},{”id“:”https://openalex.org/C108583219,“wikidata”:https://www.wikidata.org/wiki/Q197536“,”display_name“:”深度学习“,”level“:2,”score“:0.4732445},{”id“:”https://openalex.org/C77618280,“wikidata”:https://www.wikidata.org/wiki/Q1155772“,”display_name“:”Scheme(mathematics)“,”level“:2,”score“:0.42781058},{”id“:”https://openalex.org/C124101348,“wikidata”:https://www.wikidata.org/wiki/Q172491“,”display_name“:”数据挖掘“,”level“:1,”score“:0.38256487},{”id“:”https://openalex.org/C162307627,“wikidata”:https://www.wikidata.org/wiki/Q204833网址“,”display_name“:”GSM演进增强数据速率“,”level“:2,”score“:0.36931932},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.341915},{”id“:”https://openalex.org/C52420448,“wikidata”:https://www.wikidata.org/wiki/Q788926“,”display_name“:”传染病(医学专业)“,”level“:3,”score“:0.12163398},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.08163047},{”id“:”https://openalex.org/C71924100,“wikidata”:https://www.wikidata.org/wiki/Q11190(网址:https://www.wikidata.org/wiki/Q11190)“,”display_name“:”Medicine“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C2779134260,“wikidata”:https://www.wikidata.org/wiki/Q12136“,”display_name“:”Disease“,”level“:2,”score“:0.0},{”id“:”https://openalex.org/C134306372,“wikidata”:https://www.wikidata.org/wiki/Q7754“,”display_name“:”数学分析“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C142724271,“wikidata”:https://www.wikidata.org/wiki/Q7208“,”display_name“:”病理“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C162324750,“wikidata”:https://www.wikidata.org/wiki/Q8134“,”display_name“:”经济学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C175444787,“wikidata”:https://www.wikidata.org/wiki/Q39072“,”display_name“:”微观经济学“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:3,”location“:[{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1111/coin.12528,“pdf_url”:https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.12528,“源”:{“id”:https://openalex.org/S56561474“,”display_name“:”计算智能“,”issn_l“:”0824-7935“,”isn“:[”08247935“,”1467-8640“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310320503“,”“host_organization_name”:“Wiley-Blackwell”,“host_organization_lineage”:[“https://openalex.org/P4310320503","https://openalex.org/P4310320595“],”host_organization_lineage_names“:[”Wiley-Blackwell“,”Wiley“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},{“is_oa”:true,“landing_page_url”:“https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348433“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S2764455111“,”display_name“:”PubMed Central“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I1299303238“,”“host_organization_name”:“美国国立卫生研究院”,“host_ordanization_lineage”:[“https://openalex.org/I1299303238“],”host_organization_lineage_names“:[”National Institutes of Health“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},{“is_oa”:false,“landing_page_url”:“https://pubmed.ncbi.nlm.nih.gov/35941908“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4306525036“,”display_name“:”PubMed“,”issn_l“:null,”issn“:null,”is_oa“:false,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I1299303238“,”“host_organization_name”:“美国国立卫生研究院”,“host_ordanization_lineage”:[“https://openalex.org/I1299303238“],”host_organization_lineage_names“:[”National Institutes of Health“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://doi.org/10.1111/coin.12528,“pdf_url”:https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.12528,“源”:{“id”:https://openalex.org/S56561474“,”display_name“:”计算智能“,”issn_l“:”0824-7935“,”isn“:[”08247935“,”1467-8640“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310320503“,”“host_organization_name”:“Wiley-Blackwell”,“host_organization_lineage”:[“https://openalex.org/P4310320503","https://openalex.org/P4310320595“],”host_organization_lineage_names“:[”Wiley-Blackwell“,”Wiley“],“type”:“journal”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”sustainable_development_goals“:[{”score“:0.77,”display_name“:”健康和幸福“,”id“:”https://metadata.un.org/sdg/3“}],”拨款“:[{”资助者“:”https://openalex.org/F4320321001“,”funder_display_name“:”国家自然科学基金“,”award_id“:”62072251“},{”funder“:”https://openalex.org/F4320322769“,”funder_display_name“:”江苏省自然科学基金“,”award_id“:”BK20211284“}],”datasets“:[],”versions“:[[],”referenced_works_count“:42,”referrenced_works“:[”https://openalex.org/W2529345806","https://openalex.org/W2605045867","https://openalex.org/W2666784499","https://openalex.org/W2741785014","https://openalex.org/W2780046032","https://openalex.org/W2794167658","https://openalex.org/W2799349785","https://openalex.org/W2806118840","https://openalex.org/W2898782216","https://openalex.org/W2917527151","https://openalex.org/W2963163009","https://openalex.org/W2963426391","https://openalex.org/W2974367370","https://openalex.org/W2976124544","https://openalex.org/W2982083293","https://openalex.org/W2984128863","https://openalex.org/W2986349107","https://openalex.org/W2986713830","https://openalex.org/W2998014461","https://openalex.org/W3000999545","https://openalex.org/W3006834170","https://openalex.org/W3010698037","https://openalex.org/W3012421327","https://openalex.org/W3013130152","https://openalex.org/W3013640245","https://openalex.org/W3016022677","https://openalex.org/W3016610966","https://openalex.org/W3025815763","https://openalex.org/W3027362232","https://openalex.org/W3027763298","https://openalex.org/W3037995725","https://openalex.org/W3040659409","https://openalex.org/W3044506081","https://openalex.org/W3045931268","https://openalex.org/W3046539079","https://openalex.org/W3048794423网址","https://openalex.org/W3087284811","https://openalex.org/W3098401985","https://openalex.org/W3105081694","https://openalex.org/W3108656121","https://openalex.org/W311142877","https://openalex.org/W3112788036“],”related_works“:[”https://openalex.org/W4324372666","https://openalex.org/W4312417841","https://openalex.org/W4226493464","https://openalex.org/W4225706866","https://openalex.org/W3193565141","https://openalex.org/W3167935049","https://openalex.org/W3133861977","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2951211570“],”ngrams_url“:”https://api.openalex.org/works/W4225120216/ngrams“,”“abstract_inverted_index”:{“abstract”:[0],“Severe”:[1],“Coronavirus”:[2],“Disease”:[3],“2019”:[4],“(COVID\u201019)”:[5],“has”:[6],“been”:[7,74],“a”:[8,52111],“global”:[9],“pression”:[10,25],“which”:[11],“inves”:[12],“massible”:[13],“destruction”:[14],“至”:[15122142161],“该”:[16,27,76,85,89,95124136144148172175199202207],“社会,“:[17],“经济,”:[18],“和”:[19,34,79,88131150204],“文化”:[20],“自”:[21],“一月”:[22],“2020。”:[23],“The”:[24186195],“demonds”:[26],“efficiency”:[28],”of“:[29,55,81127147168174190198206],“supernatived”:[30],“manual”:[31],“检测”:[32,60,96104133],“方法”:[33,37],“激励”:[35],“新颖”:[36],“that“:[38,62],”detect“:[39],”COVID\u201019“:[40,59103212],”by“:[41],”classified“:[42],”chest“:[43],”x\u2010ray“:[44],”(CXR)“:[45],”images“:[46,65108179215],”with“:[47,66110],”深层“:[48],”learning“:[49],”technology。“:[50],”虽然“:[51],”宽“:[53],”范围“:[54],”研究“:[56],”关于“:[57],”bran\u2010new“:[58],”方法“:[61],”分类“:[63],”CXR“:[64107178214],”集中“:[67,90128],”卷积“:[68],”神经“:[69],”网络“:[70],”(CNN)“:[71],”模型“:[72192],”有“:[73],“建议”:[75],“延迟”:[77],“隐私”:[78],“成本”:[80],“信息“:[82151],”传输“:[83],”介于“:[84],”数据“:[86,91129169],”资源“:[87],”中心“:[92130],”将“:[93],”制造“:[94162],”低效。“:[97],”因此,“:[98],”in“:[99117216],”this“:[100],”article“,:[101],”scheme“:[105209],”via“:[106],”classification“:[109180],”lightweight“:[112],”CNN“:[113],”model“:[1114157],”called“:+115],”MobileNet“:116176191],”edge“:[118217],”computing“:[11925149],”is“:[12139159181193],”proposed“:[121208],“缓解”:[123],“压力”:[126],“改善“:[132],”效率。“:[134],”具体来说,“:[135],”一般“:[137],”框架“:[138],”引入“:[140],”第一“:[141],”清单“:[143],”总体“:[145],”安排“:[146],”服务“:[152],”生态系统。“:[153],”Then,“:[154],”an“:[155],”unsupervised“:[156],”DCGAN“:[158],”employed“:[160],”up“:[163],”for“:[164177210],”small“:[166],”scale“:[167],”set。“:[170],”此外,“:[171],”实现“:[173],”呈现“:[182],”在“:[183],”伟大“:[184],”长度。“:[185],”特定“:[187],”分布“:[188],”战略“:[189],”紧随其后。“:[194],”广泛“:[196],”评估“:[197],”实验“:[200],”演示“:[201],”效率“:[203],”准确性“:[205],”检测“:[211],”超过“:[213],”计算。“:[218]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W4225120216“,”counts_by_year“:[{”年份“:2023,”cited_by_count“:1},{”年“:2022,”cited_by_count”:1}],”更新日期“:“2024-05-14T01:44:25.937201”,”创建日期“:”2022-05-01“}