{"id":"https://openalex.org/W3082043744","doi":"https://doi.org/10.1109/access.2020.3020123","title":"MACD R-CNN: An Abnormal Cell Nucleus Detection Method","display_name":"MACD R-CNN: An Abnormal Cell Nucleus Detection Method","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3082043744","doi":"https://doi.org/10.1109/access.2020.3020123","mag":"3082043744"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3020123","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3020123","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09179730.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/ielx7/6287639/8948470/09179730.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042991967","display_name":"Baoyan Ma","orcid":"https://orcid.org/0000-0003-2427-9168"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoyan Ma","raw_affiliation_strings":["Department of Computer Science, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-2427-9168","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101989604","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0001-8338-8079"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Department of Computer Science, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8338-8079","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101860221","display_name":"Feng Cao","orcid":"https://orcid.org/0000-0002-9010-908X"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Cao","raw_affiliation_strings":["Department of Computer Science, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-9010-908X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026346396","display_name":"Yongjun He","orcid":"https://orcid.org/0000-0002-5156-651X"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun He","raw_affiliation_strings":["Department of Computer Science, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-5156-651X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5645,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86944694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"166658","last_page":"166669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9901999831199646,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7903965711593628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7565293312072754},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7398257255554199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6776221394538879},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.640667200088501},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5591934323310852},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5394428968429565},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.49283504486083984},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.42006564140319824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36174339056015015},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3244147300720215}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7903965711593628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7565293312072754},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7398257255554199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6776221394538879},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.640667200088501},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5591934323310852},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5394428968429565},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.49283504486083984},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.42006564140319824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36174339056015015},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3244147300720215},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3020123","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3020123","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09179730.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:bded1eb1732447aeb1c863cc2381e545","is_oa":true,"landing_page_url":"https://doaj.org/article/bded1eb1732447aeb1c863cc2381e545","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 166658-166669 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3020123","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3020123","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09179730.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":[],"awards":[{"id":"https://openalex.org/G1607685698","display_name":null,"funder_award_id":"61673142","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7758725591","display_name":null,"funder_award_id":"F2017013","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3082043744.pdf","grobid_xml":"https://content.openalex.org/works/W3082043744.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W191657459","https://openalex.org/W570901454","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1928906481","https://openalex.org/W1963969681","https://openalex.org/W1975857721","https://openalex.org/W2102605133","https://openalex.org/W2127451889","https://openalex.org/W2151103935","https://openalex.org/W2160094774","https://openalex.org/W2161969291","https://openalex.org/W2193145675","https://openalex.org/W2314029052","https://openalex.org/W2347064614","https://openalex.org/W2405367521","https://openalex.org/W2537988091","https://openalex.org/W2592929672","https://openalex.org/W2594262533","https://openalex.org/W2616720730","https://openalex.org/W2752782242","https://openalex.org/W2788562687","https://openalex.org/W2807155283","https://openalex.org/W2889646458","https://openalex.org/W2895362160","https://openalex.org/W2897927086","https://openalex.org/W2914544141","https://openalex.org/W2951527505","https://openalex.org/W2962711591","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963495494","https://openalex.org/W2963712920","https://openalex.org/W2963852746","https://openalex.org/W2969980243","https://openalex.org/W2981949229","https://openalex.org/W2991391304","https://openalex.org/W2995705876","https://openalex.org/W2997225633","https://openalex.org/W3004460637","https://openalex.org/W3034351081","https://openalex.org/W3099201107","https://openalex.org/W3102737931","https://openalex.org/W3106250896","https://openalex.org/W3139340352","https://openalex.org/W4288257146","https://openalex.org/W4293584584","https://openalex.org/W6616252792","https://openalex.org/W6620707391","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6640376812","https://openalex.org/W6682137061","https://openalex.org/W6734900802","https://openalex.org/W6741512680","https://openalex.org/W6750227808","https://openalex.org/W6751733626","https://openalex.org/W6759219133","https://openalex.org/W6761514583","https://openalex.org/W6768845720","https://openalex.org/W6772311471","https://openalex.org/W6781550413","https://openalex.org/W6967010625"],"related_works":["https://openalex.org/W2486541857","https://openalex.org/W4234886518","https://openalex.org/W2389591058","https://openalex.org/W2382112581","https://openalex.org/W3124036233","https://openalex.org/W4229787472","https://openalex.org/W2108840191","https://openalex.org/W2964954556","https://openalex.org/W2890372105","https://openalex.org/W3211385606"],"abstract_inverted_index":{"The":[0,105],"detection":[1,31,42,49,67,77],"of":[2,10,21,86,94,100,110,131,138,164,173,187],"abnormal":[3,47,65,75,188],"cell":[4,48,66,76,174,189],"nuclei":[5,106],"is":[6,50,140],"a":[7,59,122],"key":[8],"technique":[9],"the":[11,19,22,25,44,70,83,91,103,111,135,147,152,162,165,171,179,185],"cytopathic":[12],"automatic":[13],"screening":[14],"system,":[15],"which":[16,28,133],"directly":[17],"determines":[18],"performance":[20,38,45,186],"system.":[23],"Although":[24],"Mask":[26,71,87],"R-CNN":[27,78,181],"combines":[29],"target":[30,41],"and":[32,155],"semantic":[33],"segmentation":[34],"has":[35],"achieved":[36],"good":[37],"in":[39,46,82,107],"general":[40],"tasks,":[43],"still":[51],"unsatisfactory.":[52],"To":[53],"solve":[54],"this":[55,108],"problem,":[56],"we":[57,145,160],"design":[58,121],"new":[60,136],"deep":[61],"neural":[62],"network":[63],"for":[64,142],"based":[68],"on":[69],"R-CNN,":[72,88],"named":[73],"mask":[74],"(MACD":[79],"R-CNN).":[80],"First,":[81],"classification":[84],"branch":[85],"it":[89],"generates":[90],"same":[92],"size":[93,99],"feature":[95,112,129],"maps":[96,113,130],"from":[97],"different":[98],"RoIs":[101],"as":[102],"input.":[104],"part":[109],"will":[114],"be":[115],"deformed":[116],"to":[117,126,150,168],"varying":[118],"degrees.":[119],"We":[120],"fixed":[123],"proposal":[124],"module":[125],"generate":[127],"fixed-sized":[128],"nuclei,":[132],"allows":[134],"information":[137],"nucleus":[139],"used":[141],"classification.":[143,175],"Then":[144],"use":[146],"attention":[148],"mechanism":[149],"merge":[151],"original":[153],"RoI":[154,157],"Fixed":[156],"features.":[158],"Finally,":[159],"increase":[161],"depth":[163],"convolution":[166],"layer":[167],"further":[169],"improve":[170,184],"accuracy":[172],"Experiments":[176],"show":[177],"that":[178],"MACD":[180],"can":[182],"effectively":[183],"detection.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}