{"id":"https://openalex.org/W4378696851","doi":"https://doi.org/10.1109/jbhi.2023.3280958","title":"Cross-Domain Nuclei Detection in Histopathology Images Using Graph-Based Nuclei Feature Alignment","display_name":"Cross-Domain Nuclei Detection in Histopathology Images Using Graph-Based Nuclei Feature Alignment","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4378696851","doi":"https://doi.org/10.1109/jbhi.2023.3280958","pmid":"https://pubmed.ncbi.nlm.nih.gov/37247316"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3280958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3280958","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhi Wang","orcid":"https://orcid.org/0000-0002-0275-4493"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Wang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-0275-4493","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101776125","display_name":"Kai Fan","orcid":"https://orcid.org/0000-0002-6329-8700"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Fan","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6329-8700","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101784337","display_name":"Xiaoya Zhu","orcid":"https://orcid.org/0009-0008-6239-7687"},"institutions":[{"id":"https://openalex.org/I197869895","display_name":"Anhui Medical University","ror":"https://ror.org/03xb04968","country_code":"CN","type":"education","lineage":["https://openalex.org/I197869895"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoya Zhu","raw_affiliation_strings":["Department of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0008-6239-7687","affiliations":[{"raw_affiliation_string":"Department of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, China","institution_ids":["https://openalex.org/I197869895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029238488","display_name":"Honglei Liu","orcid":"https://orcid.org/0000-0002-8712-9231"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honglei Liu","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-8712-9231","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103873517","display_name":"Gang Meng","orcid":"https://orcid.org/0009-0005-6836-2440"},"institutions":[{"id":"https://openalex.org/I197869895","display_name":"Anhui Medical University","ror":"https://ror.org/03xb04968","country_code":"CN","type":"education","lineage":["https://openalex.org/I197869895"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Meng","raw_affiliation_strings":["Department of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, China","institution_ids":["https://openalex.org/I197869895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376902","display_name":"Minghui Wang","orcid":"https://orcid.org/0000-0002-5788-894X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghui Wang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5788-894X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359729","display_name":"Ao Li","orcid":"https://orcid.org/0000-0001-9910-8967"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Li","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-9910-8967","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4276,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84177705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"28","issue":"1","first_page":"78","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994000196456909,"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":0.9994000196456909,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9829999804496765,"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"}},{"id":"https://openalex.org/T10146","display_name":"Cervical Cancer and HPV Research","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/discriminative-model","display_name":"Discriminative model","score":0.8255394697189331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7270902991294861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7229461073875427},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.704975426197052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6579486727714539},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5469064116477966},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5315964818000793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5001914501190186},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4863174855709076},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48140692710876465},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4674476087093353},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.446493536233902},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4237278997898102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3481084704399109},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.16666468977928162},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11110460758209229},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09811490774154663}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8255394697189331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270902991294861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7229461073875427},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.704975426197052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6579486727714539},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5469064116477966},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5315964818000793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5001914501190186},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4863174855709076},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48140692710876465},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4674476087093353},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.446493536233902},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4237278997898102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3481084704399109},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.16666468977928162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11110460758209229},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09811490774154663},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3280958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3280958","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37247316","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37247316","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G4199516844","display_name":"\u9762\u5411\u65b0\u4e00\u4ee3\u6d4b\u5e8f\u7684\u764c\u75c7\u62f7\u8d1d\u6570\u5f02\u5e38\u68c0\u6d4b\u53ca\u5176\u5173\u952e\u53d8\u5f02\u7684\u8ba1\u7b97\u53d1\u73b0\u7814\u7a76","funder_award_id":"61571414","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7078069131","display_name":"\u764c\u75c7\u76f8\u5173\u78f7\u9178\u5316\u4fe1\u53f7\u8f6c\u5bfc\u7f51\u7edc\u653b\u51fb\u53d8\u5f02\u7684\u8ba1\u7b97\u8bc6\u522b\u548c\u5206\u6790\u7814\u7a76","funder_award_id":"61871361","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7094097324","display_name":"\u8054\u5408\u57fa\u56e0\u7ec4\u53d8\u5f02\u4e0e\u6570\u5b57\u75c5\u7406\u56fe\u50cf\u7684\u764c\u75c7\u591a\u6a21\u6001\u9884\u540e\u9884\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971393","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7348074014","display_name":"\u78f7\u9178\u5316\u76f8\u5173\u7684\u86cb\u767d\u8d28\u7ffb\u8bd1\u540e\u4fee\u9970Crosstalk\u53ca\u6fc0\u9176\u7684\u8ba1\u7b97\u8bc6\u522b\u65b9\u6cd5\u548c\u5206\u6790\u7814\u7a76","funder_award_id":"61471331","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2132162500","https://openalex.org/W2248620004","https://openalex.org/W2312404985","https://openalex.org/W2343160907","https://openalex.org/W2395611524","https://openalex.org/W2398921440","https://openalex.org/W2593768305","https://openalex.org/W2604922637","https://openalex.org/W2738582428","https://openalex.org/W2806242585","https://openalex.org/W2891113118","https://openalex.org/W2911855788","https://openalex.org/W2945334889","https://openalex.org/W2955425717","https://openalex.org/W2955889502","https://openalex.org/W2962716568","https://openalex.org/W2962793481","https://openalex.org/W2963840026","https://openalex.org/W2964083058","https://openalex.org/W2964115968","https://openalex.org/W2964152645","https://openalex.org/W2974825848","https://openalex.org/W2979847946","https://openalex.org/W2996092187","https://openalex.org/W3034562924","https://openalex.org/W3035673985","https://openalex.org/W3083699157","https://openalex.org/W3093496925","https://openalex.org/W3110011650","https://openalex.org/W3172292202","https://openalex.org/W3203581992","https://openalex.org/W3209367260","https://openalex.org/W6631190155","https://openalex.org/W6746282794","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W2116862786","https://openalex.org/W4312246223","https://openalex.org/W156213964","https://openalex.org/W2050960118","https://openalex.org/W2400428875"],"abstract_inverted_index":{"As":[0],"powerful":[1],"tools":[2],"deep":[3,45],"neural":[4,46],"networks":[5],"have":[6],"been":[7],"successfully":[8,204],"adopted":[9],"for":[10,59,89,134,162,179,214],"nuclei":[11,61,81,129,137,141,146,156,160,177,215,232],"detection":[12,42,62,233],"in":[13,35,65,97,121,186,230],"histopathology":[14,31],"images,":[15],"whereas":[16],"require":[17],"the":[18,41,68,114],"same":[19],"probability":[20],"distribution":[21],"between":[22],"training":[23],"and":[24,38,106,194,208],"testing":[25],"data.":[26],"However,":[27],"domain":[28,53,188,211,237],"shift":[29,212],"among":[30],"images":[32],"widely":[33],"exists":[34],"real-world":[36],"applications":[37],"severely":[39],"deteriorates":[40],"performance":[43,229],"of":[44,51,67,71,154,159,183,219],"networks.":[47],"Despite":[48],"encouraging":[49],"results":[50],"existing":[52,236],"adaptation":[54,221,238],"methods,":[55],"there":[56],"remain":[57],"challenges":[58],"cross-domain":[60,136,231],"task.":[63],"First,":[64],"view":[66],"tiny":[69],"size":[70],"nuclei,":[72],"it":[73],"is":[74,171],"actually":[75],"very":[76],"difficult":[77],"to":[78,85,94,173],"obtain":[79],"sufficient":[80,140,193],"features,":[82],"thus":[83],"leading":[84],"a":[86],"negative":[87,181],"influence":[88,182],"feature":[90,130,206],"alignment.":[91,164,190],"Second,":[92],"due":[93],"unavailable":[95],"annotations":[96],"target":[98,187],"domain,":[99],"some":[100],"extracted":[101],"features":[102,142,178,197],"contain":[103],"background":[104,184],"pixels":[105,185],"are":[107,143],"thereby":[108],"indiscriminative,":[109],"which":[110],"can":[111,203],"largely":[112],"confuse":[113],"alignment":[115,131,207],"procedure.":[116],"To":[117],"address":[118],"these":[119],"challenges,":[120],"this":[122],"paper,":[123],"we":[124],"propose":[125],"an":[126],"end-to-end":[127],"graph-based":[128],"(GNFA)":[132],"method":[133,202,226],"boosting":[135],"detection.":[138,216],"Concretely,":[139],"generated":[144,198],"from":[145,199],"graph":[147,161],"convolutional":[148],"network":[149],"(NGCN)":[150],"by":[151],"aggregating":[152],"information":[153],"adjacent":[155],"upon":[157],"construction":[158],"successful":[163],"In":[165],"addition,":[166],"importance":[167],"learning":[168],"module":[169],"(ILM)":[170],"designed":[172],"further":[174],"select":[175],"discriminative":[176,195],"mitigating":[180],"during":[189],"By":[191],"utilizing":[192],"node":[196],"GNFA,":[200],"our":[201,225],"perform":[205],"effectively":[209],"alleviate":[210],"problem":[213],"Extensive":[217],"experiments":[218],"multiple":[220],"scenarios":[222],"reveal":[223],"that":[224],"achieves":[227],"state-of-the-art":[228],"compared":[234],"with":[235],"methods.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
