{"id":"https://openalex.org/W4296131005","doi":"https://doi.org/10.1145/3561653","title":"A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation","display_name":"A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation","publication_year":2022,"publication_date":"2022-09-15","ids":{"openalex":"https://openalex.org/W4296131005","doi":"https://doi.org/10.1145/3561653"},"language":"en","primary_location":{"id":"doi:10.1145/3561653","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3561653","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","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/A5030014366","display_name":"Yidong Chai","orcid":"https://orcid.org/0000-0003-0260-7589"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yidong Chai","raw_affiliation_strings":["School of Management of Hefei University of Technology, Key Laboratory of Process Optimization and Intelligence Decision Making, Minister of Education, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0003-0260-7589","affiliations":[{"raw_affiliation_string":"School of Management of Hefei University of Technology, Key Laboratory of Process Optimization and Intelligence Decision Making, Minister of Education, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332465","display_name":"Hongyan Liu","orcid":"https://orcid.org/0000-0002-4902-1078"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Liu","raw_affiliation_strings":["Research Center for Contemporary Management, School of Economics and Management, Tsinghua University, Beijing, China","School of Management of Hefei University of Technology, Key Laboratory of Process Optimization and Intelligence Decision Making, Minister of Education, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-4902-1078","affiliations":[{"raw_affiliation_string":"Research Center for Contemporary Management, School of Economics and Management, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Management of Hefei University of Technology, Key Laboratory of Process Optimization and Intelligence Decision Making, Minister of Education, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003488506","display_name":"Jie Xu","orcid":"https://orcid.org/0000-0002-2039-7055"},"institutions":[{"id":"https://openalex.org/I1294606314","display_name":"Beijing Tongren Hospital","ror":"https://ror.org/013e4n276","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294606314"]},{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2039-7055","affiliations":[{"raw_affiliation_string":"Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I1294606314","https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038811607","display_name":"Sagar Samtani","orcid":"https://orcid.org/0000-0002-4513-805X"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sagar Samtani","raw_affiliation_strings":["Kelley School of Business, Indiana University, Bloomington, Indiana, USA"],"raw_orcid":"https://orcid.org/0000-0002-4513-805X","affiliations":[{"raw_affiliation_string":"Kelley School of Business, Indiana University, Bloomington, Indiana, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004103125","display_name":"Yuanchun Jiang","orcid":"https://orcid.org/0000-0003-0886-3647"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchun Jiang","raw_affiliation_strings":["School of Management of Hefei University of Technology, Key Laboratory of Process Optimization and Intelligence Decision Making, Minister of Education, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0003-0886-3647","affiliations":[{"raw_affiliation_string":"School of Management of Hefei University of Technology, Key Laboratory of Process Optimization and Intelligence Decision Making, Minister of Education, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005957133","display_name":"Haoxin Liu","orcid":"https://orcid.org/0000-0002-9237-0708"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxin Liu","raw_affiliation_strings":["Research Center for Contemporary Management, School of Economics and Management, Tsinghua University, Beijing, China","School of Management of Hefei University of Technology, Key Laboratory of Process Optimization and Intelligence Decision Making, Minister of Education, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-9237-0708","affiliations":[{"raw_affiliation_string":"Research Center for Contemporary Management, School of Economics and Management, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Management of Hefei University of Technology, Key Laboratory of Process Optimization and Intelligence Decision Making, Minister of Education, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5030014366"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":2.449,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.90503855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14","issue":"2","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7291174530982971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7279204726219177},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7061817049980164},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5950785279273987},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5771390795707703},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5650618076324463},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5619518160820007},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5269663333892822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5241137742996216},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4714328348636627},{"id":"https://openalex.org/keywords/closed-captioning","display_name":"Closed captioning","score":0.47022461891174316},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4369906187057495},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.43408268690109253},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.42566585540771484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40796393156051636},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.39122629165649414},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08064576983451843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291174530982971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7279204726219177},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7061817049980164},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5950785279273987},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5771390795707703},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5650618076324463},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5619518160820007},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5269663333892822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5241137742996216},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4714328348636627},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.47022461891174316},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4369906187057495},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.43408268690109253},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.42566585540771484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40796393156051636},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39122629165649414},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08064576983451843},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3561653","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3561653","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1754786793","display_name":null,"funder_award_id":"JZ2021HGPA0060","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1976806051","display_name":null,"funder_award_id":"91846201 and 72101079","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W66588809","https://openalex.org/W1514027499","https://openalex.org/W1524416683","https://openalex.org/W2016803658","https://openalex.org/W2097706152","https://openalex.org/W2115482638","https://openalex.org/W2123217057","https://openalex.org/W2138290126","https://openalex.org/W2156935079","https://openalex.org/W2248026759","https://openalex.org/W2334763311","https://openalex.org/W2340382781","https://openalex.org/W2483458289","https://openalex.org/W2519001210","https://openalex.org/W2557738935","https://openalex.org/W2559655401","https://openalex.org/W2598442119","https://openalex.org/W2615062958","https://openalex.org/W2640386719","https://openalex.org/W2735683533","https://openalex.org/W2769003566","https://openalex.org/W2772246530","https://openalex.org/W2794022343","https://openalex.org/W2794483285","https://openalex.org/W2803206166","https://openalex.org/W2884437772","https://openalex.org/W2884547199","https://openalex.org/W2886438696","https://openalex.org/W2887579808","https://openalex.org/W2892383154","https://openalex.org/W2900191736","https://openalex.org/W2901354392","https://openalex.org/W2919115771","https://openalex.org/W2942105358","https://openalex.org/W2949074827","https://openalex.org/W2962975664","https://openalex.org/W2963307331","https://openalex.org/W2963346784","https://openalex.org/W2963409068","https://openalex.org/W2963745697","https://openalex.org/W2981459277","https://openalex.org/W3002944878","https://openalex.org/W3004285834","https://openalex.org/W3009734525","https://openalex.org/W3014893687","https://openalex.org/W3026741590","https://openalex.org/W3029256614","https://openalex.org/W3042927485","https://openalex.org/W3083277824","https://openalex.org/W3085582435","https://openalex.org/W3101639073","https://openalex.org/W3112778516","https://openalex.org/W3113208842","https://openalex.org/W3117374488","https://openalex.org/W3123699722","https://openalex.org/W3129689674","https://openalex.org/W3158777740","https://openalex.org/W3163519726","https://openalex.org/W3177525997","https://openalex.org/W3185154749","https://openalex.org/W3194346615","https://openalex.org/W3203547808","https://openalex.org/W3205749498","https://openalex.org/W3206022579","https://openalex.org/W3208570636","https://openalex.org/W3215879207","https://openalex.org/W4229068698","https://openalex.org/W4236965008","https://openalex.org/W4287902759","https://openalex.org/W4365800072","https://openalex.org/W4371785050","https://openalex.org/W6608408481","https://openalex.org/W6752113587","https://openalex.org/W6774562791","https://openalex.org/W6787213123"],"related_works":["https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2076896210","https://openalex.org/W2384288472","https://openalex.org/W1539573266","https://openalex.org/W2093596879","https://openalex.org/W2376984068","https://openalex.org/W2201969175","https://openalex.org/W2017257332","https://openalex.org/W2747088704"],"abstract_inverted_index":{"Medical":[0],"image":[1,63,130,148],"annotation":[2,64],"aims":[3],"to":[4,15,40,59,65,132],"automatically":[5],"describe":[6],"the":[7,17,33,42,47,61,134,137,143],"content":[8,18],"of":[9,19,49,55,136],"medical":[10,20,50,62,95],"images.":[11,96],"It":[12],"helps":[13],"doctors":[14],"understand":[16],"images":[21,37,51],"and":[22,38,114,151],"make":[23],"better":[24],"informed":[25],"decisions":[26],"like":[27],"diagnoses.":[28],"Existing":[29],"methods":[30],"mainly":[31],"follow":[32],"approach":[34],"for":[35],"natural":[36],"fail":[39],"emphasize":[41],"object":[43,71],"abnormalities,":[44],"which":[45],"is":[46],"essence":[48],"annotation.":[52],"In":[53],"light":[54],"this,":[56],"we":[57,101],"propose":[58,102],"transform":[60],"a":[66,103,109,127],"multi-label":[67,78,152],"classification":[68,79,153],"problem,":[69],"where":[70,108],"abnormalities":[72],"are":[73,120,124],"focused":[74],"directly.":[75],"However,":[76],"extant":[77],"studies":[80],"rely":[81],"on":[82,126],"arduous":[83],"feature":[84],"engineering,":[85],"or":[86],"do":[87],"not":[88],"solve":[89,98],"label":[90],"correlation":[91],"issues":[92],"well":[93],"in":[94],"To":[97],"these":[99],"problems,":[100],"novel":[104],"deep":[105],"learning":[106],"model":[107,145],"frequent":[110],"pattern":[111],"mining":[112],"component":[113,119],"an":[115],"adversarial-based":[116],"denoising":[117],"autoencoder":[118],"introduced.":[121],"Extensive":[122],"experiments":[123],"conducted":[125],"real":[128],"retinal":[129],"dataset":[131],"evaluate":[133],"performance":[135],"proposed":[138,144],"model.":[139],"Results":[140],"indicate":[141],"that":[142],"significantly":[146],"outperforms":[147],"captioning":[149],"baselines":[150],"baselines.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
