{"id":"https://openalex.org/W4283726402","doi":"https://doi.org/10.1109/codit55151.2022.9803905","title":"A Dual-channel Attention Model for Optical Microscope Pollen Classification","display_name":"A Dual-channel Attention Model for Optical Microscope Pollen Classification","publication_year":2022,"publication_date":"2022-05-17","ids":{"openalex":"https://openalex.org/W4283726402","doi":"https://doi.org/10.1109/codit55151.2022.9803905"},"language":"en","primary_location":{"id":"doi:10.1109/codit55151.2022.9803905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit55151.2022.9803905","pdf_url":null,"source":{"id":"https://openalex.org/S4363607900","display_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5115602129","display_name":"Yanan Li","orcid":"https://orcid.org/0000-0003-2886-1585"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanan Li","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393880","display_name":"Jianqiang Li","orcid":"https://orcid.org/0000-0003-1995-9249"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Li","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020451338","display_name":"Yan Pei","orcid":"https://orcid.org/0000-0003-1545-9204"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yan Pei","raw_affiliation_strings":["University of Aizu,Computer Science Division,Aizuwakamatsu,Japan,965-8580"],"affiliations":[{"raw_affiliation_string":"University of Aizu,Computer Science Division,Aizuwakamatsu,Japan,965-8580","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100346140","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-1531-0912"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115602129"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":1.3846,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64705882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"34","issue":null,"first_page":"1118","last_page":"1123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10877","display_name":"Allergic Rhinitis and Sensitization","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2723","display_name":"Immunology and Allergy"},"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/T10877","display_name":"Allergic Rhinitis and Sensitization","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2723","display_name":"Immunology and Allergy"},"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/T10997","display_name":"Ocular Surface and Contact Lens","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pollen","display_name":"Pollen","score":0.9445009231567383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6318272352218628},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6222508549690247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.589401364326477},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5559080243110657},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5227510929107666},{"id":"https://openalex.org/keywords/microscope","display_name":"Microscope","score":0.508220911026001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43712273240089417},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4264869689941406},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31897222995758057},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1710902452468872},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.11185762286186218},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08766886591911316},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08305004239082336},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07552525401115417}],"concepts":[{"id":"https://openalex.org/C2780618852","wikidata":"https://www.wikidata.org/wiki/Q79932","display_name":"Pollen","level":2,"score":0.9445009231567383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318272352218628},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6222508549690247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.589401364326477},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5559080243110657},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5227510929107666},{"id":"https://openalex.org/C67649825","wikidata":"https://www.wikidata.org/wiki/Q196538","display_name":"Microscope","level":2,"score":0.508220911026001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43712273240089417},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4264869689941406},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31897222995758057},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1710902452468872},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.11185762286186218},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08766886591911316},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08305004239082336},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07552525401115417},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit55151.2022.9803905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit55151.2022.9803905","pdf_url":null,"source":{"id":"https://openalex.org/S4363607900","display_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7252706632","display_name":null,"funder_award_id":"Z191100009119013","funder_id":"https://openalex.org/F4320325902","funder_display_name":"Beijing Municipal Science and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2103647691","https://openalex.org/W2172011458","https://openalex.org/W2194775991","https://openalex.org/W2416777518","https://openalex.org/W2584351190","https://openalex.org/W2618530766","https://openalex.org/W2884585870","https://openalex.org/W2890900069","https://openalex.org/W2912412749","https://openalex.org/W2912483755","https://openalex.org/W2924540856","https://openalex.org/W2955058313","https://openalex.org/W2955425717","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2973957463","https://openalex.org/W2988860289","https://openalex.org/W3045073967","https://openalex.org/W3091370386","https://openalex.org/W3098098512","https://openalex.org/W3106250896","https://openalex.org/W3109622693","https://openalex.org/W3130046614","https://openalex.org/W3210293313","https://openalex.org/W4248916923","https://openalex.org/W6637373629","https://openalex.org/W6725739302","https://openalex.org/W6743731764","https://openalex.org/W6753412334","https://openalex.org/W6762718338","https://openalex.org/W6785652829","https://openalex.org/W6787126437"],"related_works":["https://openalex.org/W2042874314","https://openalex.org/W2594585717","https://openalex.org/W2023847064","https://openalex.org/W4211202038","https://openalex.org/W1840213242","https://openalex.org/W2156868689","https://openalex.org/W2376340911","https://openalex.org/W1999693121","https://openalex.org/W2063838271","https://openalex.org/W2952912015"],"abstract_inverted_index":{"The":[0,15,152],"effective":[1],"classification":[2,18,150,155],"of":[3,12,34,73,122,141,154],"pollen":[4,13,17,58,69,84,94,109,115,166],"is":[5,91,106],"a":[6,32,129],"critical":[7],"method":[8],"to":[9,52,147,165],"the":[10,25,47,54,57,68,74,87,93,104,108,114,120,139,149],"prevention":[11],"allergy.":[14],"conventional":[16],"primarily":[19],"relies":[20],"on":[21,42],"manual":[22],"handling":[23],"under":[24],"microscope,":[26],"which":[27,137],"does":[28],"not":[29],"only":[30],"require":[31],"lot":[33],"manpower":[35],"but":[36,79],"also":[37,82],"has":[38],"low":[39],"classicization":[40],"accuracy":[41],"results.":[43],"In":[44],"this":[45],"paper,":[46],"optical":[48],"microscope":[49],"was":[50,61,95,117,124],"used":[51],"scan":[53],"slides":[55],"and":[56,101,103,113,119,144],"image":[59,116],"dataset":[60,70],"made":[62],"for":[63],"classification.":[64],"We":[65],"found":[66],"from":[67],"that":[71,92,107,160],"most":[72],"images":[75,85,110],"have":[76],"clear":[77],"contours,":[78],"there":[80],"were":[81],"many":[83],"with":[86],"following":[88],"problems.":[89],"One":[90],"covered":[96],"by":[97],"impurities":[98],"like":[99],"dust":[100],"pebbles,":[102],"other":[105],"stain":[111],"unevenly":[112],"blurred":[118],"number":[121],"pollens":[123],"unbalanced.":[125],"This":[126],"paper":[127],"proposes":[128],"Dual-Channel":[130],"Attention":[131],"method,":[132],"we":[133],"call":[134],"it":[135],"DCANet,":[136],"combines":[138],"advantages":[140],"channel":[142,145],"attention":[143,164],"self-attention":[146],"improve":[148],"accuracy.":[151],"results":[153],"activation":[156],"map":[157],"analysis":[158],"showed":[159],"DCANet":[161],"paid":[162],"more":[163],"images.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}