{"id":"https://openalex.org/W4386362696","doi":"https://doi.org/10.1109/isbi53787.2023.10230512","title":"Cell Instance Segmentation VIA Multi-Scale Non-Local Correlation","display_name":"Cell Instance Segmentation VIA Multi-Scale Non-Local Correlation","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386362696","doi":"https://doi.org/10.1109/isbi53787.2023.10230512"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230512","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","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/A5060117769","display_name":"Bin Duan","orcid":"https://orcid.org/0000-0003-3302-1900"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bin Duan","raw_affiliation_strings":["Illinois Institute of Technology,Department of Computer Science","Department of Computer Science, Illinois Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology,Department of Computer Science","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"Department of Computer Science, Illinois Institute of Technology","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057737410","display_name":"Jianfeng Cao","orcid":"https://orcid.org/0000-0002-7323-8875"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Cao","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Computer Science and Engineering","Department of Computer Science and Engineering, The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Computer Science and Engineering","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391932","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-3110-5767"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Beijing Jiaotong University,Institute of Information Science","Institute of Information Science, Beijing Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,Institute of Information Science","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016879676","display_name":"Dawen Cai","orcid":"https://orcid.org/0000-0003-4471-2061"},"institutions":[{"id":"https://openalex.org/I4210114445","display_name":"Michigan Medicine","ror":"https://ror.org/01zcpa714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114445"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dawen Cai","raw_affiliation_strings":["Biophysics","Cell and Developmental Biology, Michigan Medicine","Michigan Neuroscience Institute, University of Michigan"],"affiliations":[{"raw_affiliation_string":"Biophysics","institution_ids":[]},{"raw_affiliation_string":"Cell and Developmental Biology, Michigan Medicine","institution_ids":["https://openalex.org/I4210114445"]},{"raw_affiliation_string":"Michigan Neuroscience Institute, University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100718883","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0003-2938-4063"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Illinois Institute of Technology,Department of Computer Science","Department of Computer Science, Illinois Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology,Department of Computer Science","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"Department of Computer Science, Illinois Institute of Technology","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060117769"],"corresponding_institution_ids":["https://openalex.org/I180949307"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09952412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"98","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2508","display_name":"Surfaces, Coatings and Films"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9947999715805054,"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/segmentation","display_name":"Segmentation","score":0.8307332992553711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6936780214309692},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.655005693435669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6516348123550415},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6501731872558594},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.639117956161499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6333662271499634},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6149532794952393},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5104286074638367},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5020625591278076},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.43564102053642273},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42036256194114685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35685521364212036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22145870327949524},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07956719398498535},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.05797487497329712}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8307332992553711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6936780214309692},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.655005693435669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516348123550415},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6501731872558594},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.639117956161499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6333662271499634},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6149532794952393},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5104286074638367},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5020625591278076},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.43564102053642273},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42036256194114685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35685521364212036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22145870327949524},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07956719398498535},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.05797487497329712},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/isbi53787.2023.10230512","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1585431621","https://openalex.org/W1901129140","https://openalex.org/W2141729166","https://openalex.org/W2157305458","https://openalex.org/W2167510172","https://openalex.org/W2169805405","https://openalex.org/W2517198777","https://openalex.org/W2517954747","https://openalex.org/W2547234448","https://openalex.org/W2582996697","https://openalex.org/W2744404335","https://openalex.org/W2760861884","https://openalex.org/W2804078698","https://openalex.org/W2884436604","https://openalex.org/W2899423466","https://openalex.org/W2939208918","https://openalex.org/W2950514549","https://openalex.org/W2963150697","https://openalex.org/W2963560594","https://openalex.org/W2963833670","https://openalex.org/W2980134246","https://openalex.org/W2987039128","https://openalex.org/W3007028022","https://openalex.org/W3015788359","https://openalex.org/W3092344722","https://openalex.org/W3100860290","https://openalex.org/W3127393872","https://openalex.org/W4244030505","https://openalex.org/W6634966438","https://openalex.org/W6639824700","https://openalex.org/W6684372118","https://openalex.org/W6732781371","https://openalex.org/W6752378368","https://openalex.org/W6753182481","https://openalex.org/W6761665040","https://openalex.org/W6780102755"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"For":[0],"cell":[1,29,135],"instance":[2],"segmentation":[3,20],"on":[4,106],"Electron":[5],"Microscopy":[6],"(EM)":[7],"images,":[8],"state-of-the-art":[9],"methods":[10],"either":[11],"conduct":[12],"pixel-wise":[13],"classification":[14],"or":[15,90],"follow":[16],"a":[17,75],"detection":[18],"and":[19,42,57,66,95,100,136],"manner.":[21],"However,":[22],"both":[23],"approaches":[24],"suffer":[25],"from":[26],"the":[27,82,98],"enormous":[28],"instances":[30],"of":[31],"EM":[32,109],"images":[33],"where":[34,111],"cells":[35],"are":[36],"tightly":[37],"close":[38],"to":[39,55,85,92],"each":[40],"other":[41],"show":[43],"inconsistent":[44],"morphological":[45],"properties":[46],"and/or":[47],"homogeneous":[48],"appearances.":[49],"This":[50],"fact":[51],"can":[52],"easily":[53],"lead":[54],"over-segmentation":[56],"under-segmentation":[58,101],"problems":[59],"for":[60],"model":[61],"prediction,":[62],"i.e.,":[63],"falsely":[64],"splitting":[65],"merging":[67],"adjacent":[68],"instances.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,128],"propose":[74],"novel":[76],"approach":[77],"incorporating":[78],"non-local":[79,126],"correlation":[80],"in":[81],"embedding":[83],"space":[84],"make":[86],"pixel":[87],"features":[88],"distinct":[89],"similar":[91],"their":[93],"neighbors":[94],"thus":[96],"address":[97],"over-":[99],"problems.":[102],"We":[103],"perform":[104],"experiments":[105],"five":[107],"different":[108],"datasets":[110],"our":[112],"proposed":[113],"method":[114],"yields":[115],"better":[116],"results":[117],"than":[118],"several":[119],"strong":[120],"baselines.":[121],"More":[122],"importantly,":[123],"by":[124],"using":[125],"correlation,":[127],"observe":[129],"fewer":[130,137],"false":[131,138],"separations":[132],"within":[133],"one":[134],"fusions":[139],"between":[140],"cells.":[141]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
