{"id":"https://openalex.org/W3026685314","doi":"https://doi.org/10.1109/access.2020.2995202","title":"TCMINet: Face Parsing for Traditional Chinese Medicine Inspection via a Hybrid Neural Network With Context Aggregation","display_name":"TCMINet: Face Parsing for Traditional Chinese Medicine Inspection via a Hybrid Neural Network With Context Aggregation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3026685314","doi":"https://doi.org/10.1109/access.2020.2995202","mag":"3026685314"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2995202","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2995202","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09094648.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09094648.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100664392","display_name":"Xinlei Li","orcid":"https://orcid.org/0000-0001-5333-7676"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlei Li","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5333-7676","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089279226","display_name":"Dawei Yang","orcid":"https://orcid.org/0000-0002-0581-7015"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Yang","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0581-7015","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035140547","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-4953-2660"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4953-2660","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441587","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-2358-8543"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China","Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2358-8543","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032768475","display_name":"Fufeng Li","orcid":"https://orcid.org/0000-0002-0566-3589"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fufeng Li","raw_affiliation_strings":["Laboratory of TCM four Processing, Shanghai University of Traditional Chinese Medicine, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0566-3589","affiliations":[{"raw_affiliation_string":"Laboratory of TCM four Processing, Shanghai University of Traditional Chinese Medicine, Shanghai, China","institution_ids":["https://openalex.org/I4210098460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100669255","display_name":"Wenqiang Zhang","orcid":"https://orcid.org/0000-0002-3339-8751"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Zhang","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China","Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3339-8751","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1865,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87223008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"93069","last_page":"93082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9380000233650208,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9362999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8537500500679016},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.8313018083572388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.659138023853302},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6394485235214233},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5656891465187073},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41624295711517334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3830028772354126},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3600015342235565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8537500500679016},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8313018083572388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.659138023853302},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6394485235214233},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5656891465187073},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41624295711517334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3830028772354126},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3600015342235565},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2995202","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2995202","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09094648.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e9fe98d19cd94c5386fd087ef58eb06d","is_oa":true,"landing_page_url":"https://doaj.org/article/e9fe98d19cd94c5386fd087ef58eb06d","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 93069-93082 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2995202","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2995202","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09094648.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G947008478","display_name":null,"funder_award_id":"81774205","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/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320321851","display_name":"Fudan University","ror":"https://ror.org/013q1eq08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3026685314.pdf","grobid_xml":"https://content.openalex.org/works/W3026685314.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1556531089","https://openalex.org/W1664573881","https://openalex.org/W1677182931","https://openalex.org/W1685006559","https://openalex.org/W1771459135","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1980163762","https://openalex.org/W1987710883","https://openalex.org/W2067380602","https://openalex.org/W2080980724","https://openalex.org/W2084182661","https://openalex.org/W2094313031","https://openalex.org/W2114096665","https://openalex.org/W2124592697","https://openalex.org/W2126494533","https://openalex.org/W2129456158","https://openalex.org/W2152161678","https://openalex.org/W2163879248","https://openalex.org/W2194775991","https://openalex.org/W2204696980","https://openalex.org/W2295744361","https://openalex.org/W2315120753","https://openalex.org/W2412782625","https://openalex.org/W2518810941","https://openalex.org/W2523857080","https://openalex.org/W2531409750","https://openalex.org/W2557178377","https://openalex.org/W2591379246","https://openalex.org/W2601564443","https://openalex.org/W2623546809","https://openalex.org/W2742023617","https://openalex.org/W2746881582","https://openalex.org/W2771360532","https://openalex.org/W2886904239","https://openalex.org/W2887455851","https://openalex.org/W2890036715","https://openalex.org/W2904856314","https://openalex.org/W2920326761","https://openalex.org/W2941741566","https://openalex.org/W2953318193","https://openalex.org/W2962965465","https://openalex.org/W2963150697","https://openalex.org/W2963166928","https://openalex.org/W2963613470","https://openalex.org/W2964309882","https://openalex.org/W2979879857","https://openalex.org/W3005348886","https://openalex.org/W6637116368","https://openalex.org/W6637625270","https://openalex.org/W6638205174","https://openalex.org/W6640295612","https://openalex.org/W6645451754","https://openalex.org/W6715287400","https://openalex.org/W6726515866","https://openalex.org/W6743004863","https://openalex.org/W6753666582"],"related_works":["https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2173794830","https://openalex.org/W1502858101","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745"],"abstract_inverted_index":{"Facial":[0],"medical":[1],"analysis,":[2],"including":[3],"the":[4,7,20,51,91,101,139],"inspection":[5],"of":[6,19,93,104],"face":[8,38,73,113,154],"and":[9,60,123,134],"inner":[10],"facial":[11],"components,":[12],"has":[13],"always":[14],"been":[15],"a":[16,84],"primary":[17],"part":[18],"diagnostic":[21],"method":[22],"in":[23,110],"Traditional":[24,76],"Chinese":[25,77],"Medicine":[26,78],"(TCM).":[27],"The":[28,130],"existing":[29],"literature":[30],"merely":[31],"focus":[32],"on":[33,157],"detecting":[34],"or":[35,44],"segmenting":[36],"single":[37],"organs":[39,58],"such":[40],"as":[41,118],"tongue,":[42],"eyes,":[43],"lips.":[45],"In":[46,97],"this":[47],"paper,":[48],"we":[49,82,106],"make":[50],"first":[52],"attempt":[53],"to":[54,71,89,99,117,164],"deal":[55],"with":[56,66],"multiple":[57],"simultaneously":[59],"develop":[61],"an":[62],"end-to-end":[63],"hybrid":[64],"network":[65],"context":[67],"aggregation":[68],"(named":[69],"TCMINet)":[70],"achieve":[72],"parsing":[74,114],"for":[75,128],"Inspection":[79],"(TCMI).":[80],"Additionally,":[81],"construct":[83],"new":[85],"dataset":[86],"named":[87],"TCMID":[88],"overcome":[90],"lackness":[92],"accurate":[94],"annotated":[95],"data.":[96],"order":[98],"verify":[100],"generalization":[102],"ability":[103],"TCMINet,":[105],"manually":[107],"relabel":[108],"images":[109],"two":[111],"popular":[112],"datasets":[115],"referred":[116],"LFW-PL":[119],"<sub":[120,125],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[121,126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">*</sub>":[122,127],"HELEN":[124],"test.":[129],"extensive":[131],"ablation":[132],"evaluations":[133],"experimental":[135],"comparisons":[136],"demonstrate":[137],"that":[138],"proposed":[140],"TCMINet":[141],"outperforms":[142],"state-of-the-art":[143],"methods":[144],"under":[145],"various":[146],"evaluation":[147],"metrics.":[148],"It":[149],"runs":[150],"at":[151],"267ms":[152],"per":[153],"(512\u00d7512":[155],"image)":[156],"Nvidia":[158],"Titan":[159],"Xp":[160],"GPU,":[161],"being":[162],"possible":[163],"be":[165],"integrated":[166],"into":[167],"engineering":[168],"solutions.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
