{"id":"https://openalex.org/W4406261232","doi":"https://doi.org/10.1109/bibm62325.2024.10822477","title":"Depression Diagnosis Algorithm Based on R2U-Net Using Facial Images","display_name":"Depression Diagnosis Algorithm Based on R2U-Net Using Facial Images","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261232","doi":"https://doi.org/10.1109/bibm62325.2024.10822477"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5037818238","display_name":"Daegil Choi","orcid":"https://orcid.org/0009-0003-5856-5282"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daegil Choi","raw_affiliation_strings":["Chosun University,AI Healthcare Research Center,Department of IT Fusion Technology,Gwangju,Korea,61452"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chosun University,AI Healthcare Research Center,Department of IT Fusion Technology,Gwangju,Korea,61452","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jisun Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jisun Hong","raw_affiliation_strings":["Chosun University,AI Healthcare Research Center,Department of IT Fusion Technology,Gwangju,Korea,61452"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chosun University,AI Healthcare Research Center,Department of IT Fusion Technology,Gwangju,Korea,61452","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015169813","display_name":"Ji Hun Lee","orcid":"https://orcid.org/0000-0002-8120-638X"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jihun Lee","raw_affiliation_strings":["Chosun University,AI Healthcare Research Center,Department of IT Fusion Technology,Gwangju,Korea,61452"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chosun University,AI Healthcare Research Center,Department of IT Fusion Technology,Gwangju,Korea,61452","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103037153","display_name":"Jaehyo Jung","orcid":"https://orcid.org/0000-0003-1852-3267"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehyo Jung","raw_affiliation_strings":["Chosun University,AI Healthcare Research Center,Department of IT Fusion Technology,Gwangju,Korea,61452"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chosun University,AI Healthcare Research Center,Department of IT Fusion Technology,Gwangju,Korea,61452","institution_ids":["https://openalex.org/I152238500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I152238500"],"apc_list":null,"apc_paid":null,"fwci":1.4713,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88026479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"7040","last_page":"7042"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.6146000027656555,"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"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.6146000027656555,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.5455999970436096,"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/T13647","display_name":"AI and Big Data Applications","score":0.531499981880188,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6677045822143555},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5843411087989807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5579285621643066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44383183121681213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3825725317001343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35347115993499756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1421872079372406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6677045822143555},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5843411087989807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5579285621643066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44383183121681213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3825725317001343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35347115993499756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1421872079372406},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2023687307","https://openalex.org/W2056403322","https://openalex.org/W2065003420","https://openalex.org/W2341528187","https://openalex.org/W2570412145","https://openalex.org/W2800833042","https://openalex.org/W2905338897","https://openalex.org/W3094644839","https://openalex.org/W3185479858","https://openalex.org/W4238079920","https://openalex.org/W4281667552","https://openalex.org/W4285188301","https://openalex.org/W4387010698"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Depression":[0],"is":[1,27],"a":[2],"chronic":[3],"and":[4,51,63,135],"common":[5],"disease":[6],"that":[7,45],"not":[8],"only":[9],"causes":[10],"social":[11,20],"dysfunction":[12],"depending":[13],"on":[14],"the":[15,32,69,91,102],"severity":[16,33],"but":[17],"also":[18],"accompanies":[19],"problems":[21],"such":[22],"as":[23],"suicide.":[24],"Therefore,":[25],"it":[26],"very":[28],"important":[29],"to":[30,38,53,64,82,89,105,112,129],"judge":[31],"of":[34,57,109],"depression":[35,61,117,124],"rather":[36],"than":[37],"diagnose":[39],"it.":[40],"We":[41],"propose":[42],"an":[43],"algorithm":[44,75],"combines":[46],"Convolutional":[47],"Neural":[48],"Networks":[49],"(CNN)":[50],"R2U-Net":[52],"analyze":[54,106],"spatial":[55,94,107],"features":[56,108],"facial":[58,110],"images":[59,111],"for":[60,116],"diagnosis":[62],"verify":[65],"their":[66],"performance":[67,127],"using":[68],"AVEC":[70],"2014":[71],"database.":[72],"The":[73,119],"proposed":[74,120],"leverages":[76],"Recurrent":[77],"Residual":[78],"Convolution":[79],"Units":[80],"(RRCUs)":[81],"improve":[83,93],"feature":[84],"extraction":[85],"with":[86],"multiple":[87,97],"iterations":[88],"help":[90],"model":[92,121],"information":[95,115],"across":[96],"layers.":[98],"Furthermore,":[99],"CNN":[100],"improves":[101],"model\u2019s":[103],"ability":[104],"extract":[113],"useful":[114],"diagnosis.":[118],"shows":[122],"improved":[123],"score":[125],"prediction":[126],"compared":[128],"other":[130],"models":[131],"including":[132],"U-Net,":[133],"R2U-Net,":[134],"ResNet50.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}