{"id":"https://openalex.org/W4312461327","doi":"https://doi.org/10.1109/icpr56361.2022.9956254","title":"Combining ExtremeNet with Shape Constraints and Re-Discrimination to Detect Cells from CD56 Images","display_name":"Combining ExtremeNet with Shape Constraints and Re-Discrimination to Detect Cells from CD56 Images","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312461327","doi":"https://doi.org/10.1109/icpr56361.2022.9956254"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956254","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100346475","display_name":"Rong Liu","orcid":"https://orcid.org/0000-0002-4484-5203"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Liu","raw_affiliation_strings":["Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022232923","display_name":"Bin Ao","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Ao","raw_affiliation_strings":["Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024001028","display_name":"Qing Wen","orcid":"https://orcid.org/0000-0001-9686-5364"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wen","raw_affiliation_strings":["Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602094","display_name":"Xin Wu","orcid":"https://orcid.org/0000-0002-6250-4218"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wu","raw_affiliation_strings":["Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047426293","display_name":"Jianping Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Yin","raw_affiliation_strings":["Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100723032","display_name":"Kuan Li","orcid":"https://orcid.org/0000-0002-6812-6932"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuan Li","raw_affiliation_strings":["Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Cyberspace Security,Dongguan,China,523808","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2799850029"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"200","issue":null,"first_page":"4587","last_page":"4593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10580","display_name":"Immunotherapy and Immune Responses","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7364997863769531},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7204924821853638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5469761490821838},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5463065505027771},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5293738842010498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5143698453903198},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.4795605540275574},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4794932007789612},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.34581539034843445}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7364997863769531},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7204924821853638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5469761490821838},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5463065505027771},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5293738842010498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5143698453903198},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4795605540275574},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4794932007789612},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34581539034843445}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956254","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6399999856948853,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1986412518","https://openalex.org/W2307770531","https://openalex.org/W2570343428","https://openalex.org/W2744785641","https://openalex.org/W2783201053","https://openalex.org/W2900936384","https://openalex.org/W2921535297","https://openalex.org/W2962716568","https://openalex.org/W2963037989","https://openalex.org/W2963927307","https://openalex.org/W2964121718","https://openalex.org/W3005287255","https://openalex.org/W3012573144","https://openalex.org/W3096265120","https://openalex.org/W3184439416","https://openalex.org/W4293584584","https://openalex.org/W4295312788","https://openalex.org/W6638444622","https://openalex.org/W6697925102","https://openalex.org/W6742950524","https://openalex.org/W6750227808","https://openalex.org/W6753494528","https://openalex.org/W6766978945","https://openalex.org/W6784575933","https://openalex.org/W6798838024"],"related_works":["https://openalex.org/W2969228573","https://openalex.org/W2963690996","https://openalex.org/W3036827782","https://openalex.org/W1504972346","https://openalex.org/W2951194758","https://openalex.org/W2356087891","https://openalex.org/W2553152692","https://openalex.org/W1497877549","https://openalex.org/W2392126150","https://openalex.org/W1997609524"],"abstract_inverted_index":{"CD56,":[0],"one":[1],"of":[2,23,26,32,53,150],"the":[3,19,30,51,108,142,146],"latest":[4],"tumor":[5,27],"molecular":[6],"markers,":[7],"is":[8,41,56,127],"a":[9,24,74,114],"nerve":[10],"cell":[11],"adhesion":[12],"molecule":[13],"that":[14,133],"can":[15],"be":[16],"used":[17],"in":[18,66,152],"diagnosis":[20],"and":[21,50,95,121],"study":[22],"variety":[25],"cells.":[28],"In":[29,43,69],"field":[31],"digital":[33],"medical":[34],"image":[35],"processing,":[36],"research":[37],"on":[38],"CD56":[39,44,67,83,153],"images":[40],"emerging.":[42],"images,":[45],"cells":[46,55,65,81,97,123,151],"are":[47,104],"densely":[48],"packed":[49],"number":[52],"positive":[54,80,94,122],"low,":[57],"these":[58],"make":[59],"it":[60],"difficult":[61],"to":[62,78,91,106,118],"accurately":[63],"detect":[64,79,93],"images.":[68,84,154],"this":[70],"paper,":[71],"we":[72,86],"proposed":[73,143],"new":[75],"hierarchy":[76],"method":[77,144],"from":[82,98],"Specifically,":[85],"first":[87],"utilize":[88],"an":[89,99],"ExtremeNet":[90],"roughly":[92],"negative":[96,120],"image.":[100],"Then":[101],"Shape":[102],"Constraints":[103],"adopted":[105],"refine":[107],"detection":[109,140,148],"results.":[110],"We":[111],"further":[112],"trained":[113],"convolutional":[115],"neural":[116],"network":[117],"identify":[119],"more":[124],"accurately,":[125],"which":[126],"called":[128],"Re-Discrimination.":[129],"Experimental":[130],"results":[131],"showed":[132],"compared":[134],"with":[135],"several":[136],"state-of-the-art":[137],"one-stage":[138],"object":[139],"algorithms,":[141],"achieved":[145],"highest":[147],"accuracy":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}