{"id":"https://openalex.org/W4408565795","doi":"https://doi.org/10.1109/icdmw65004.2024.00120","title":"Automated Detection and Quantitative Assessment of Extranodal Extension in Lymph Node Breast Tumors Using Dual-Tier Deep Learning and Density-Based Contour Algorithms","display_name":"Automated Detection and Quantitative Assessment of Extranodal Extension in Lymph Node Breast Tumors Using Dual-Tier Deep Learning and Density-Based Contour Algorithms","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4408565795","doi":"https://doi.org/10.1109/icdmw65004.2024.00120"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw65004.2024.00120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","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/A5056464635","display_name":"Zhichao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Zhichao Yu","raw_affiliation_strings":["University of Macau,Department of Computer and Information Science"],"affiliations":[{"raw_affiliation_string":"University of Macau,Department of Computer and Information Science","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086422507","display_name":"Simon Fong","orcid":"https://orcid.org/0000-0002-1848-7246"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Simon James Fong","raw_affiliation_strings":["University of Macau,Department of Computer and Information Science"],"affiliations":[{"raw_affiliation_string":"University of Macau,Department of Computer and Information Science","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461478","display_name":"Liming Zhang","orcid":"https://orcid.org/0000-0002-3500-9043"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Liming Zhang","raw_affiliation_strings":["University of Macau,Department of Computer and Information Science"],"affiliations":[{"raw_affiliation_string":"University of Macau,Department of Computer and Information Science","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103148096","display_name":"Tengyue Li","orcid":"https://orcid.org/0000-0003-0241-6715"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengyue Li","raw_affiliation_strings":["North China University of Technology,Faculty of Information,Beijing,China"],"affiliations":[{"raw_affiliation_string":"North China University of Technology,Faculty of Information,Beijing,China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103053572","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0002-4679-4809"},"institutions":[{"id":"https://openalex.org/I4210105740","display_name":"First People's Hospital of Foshan","ror":"https://ror.org/01cqwmh55","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105740"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["First People’s Hospital of Foshan,Department of Pathology,Guangdong,China"],"affiliations":[{"raw_affiliation_string":"First People’s Hospital of Foshan,Department of Pathology,Guangdong,China","institution_ids":["https://openalex.org/I4210105740"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056464635"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71459332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"877","last_page":"886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9973999857902527,"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":0.9973999857902527,"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":0.988099992275238,"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/T10183","display_name":"Breast Cancer Treatment Studies","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054609060287476},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.6623090505599976},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5394706130027771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4879164397716522},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4870017170906067},{"id":"https://openalex.org/keywords/lymph-node","display_name":"Lymph node","score":0.45613887906074524},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4224264621734619},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3723306655883789},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19287759065628052},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1369316577911377},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08850950002670288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054609060287476},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.6623090505599976},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5394706130027771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4879164397716522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4870017170906067},{"id":"https://openalex.org/C2780849966","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node","level":2,"score":0.45613887906074524},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4224264621734619},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3723306655883789},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19287759065628052},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1369316577911377},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08850950002670288},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/icdmw65004.2024.00120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325862","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2891484462","https://openalex.org/W2952838193","https://openalex.org/W4223960191","https://openalex.org/W4307142270","https://openalex.org/W4386244283","https://openalex.org/W4386644903","https://openalex.org/W4386930653","https://openalex.org/W4396582508"],"related_works":["https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W2369178846","https://openalex.org/W2370289839","https://openalex.org/W2082716031","https://openalex.org/W2933494595","https://openalex.org/W4313347705","https://openalex.org/W1568049691","https://openalex.org/W1590096425","https://openalex.org/W2890485617"],"abstract_inverted_index":{"Accurate":[0],"detection":[1],"and":[2,18,75,81,175,209],"quantification":[3],"of":[4,36,111,125,138,158,167,199,214],"extranodal":[5],"extension":[6],"(ENE)":[7],"in":[8,38,171,217],"lymph":[9,41,97,117,159],"node":[10,42,98,118,160],"metastases":[11],"is":[12],"crucial":[13],"for":[14,56,96,179],"effective":[15],"tumor":[16,112],"staging":[17],"prognosis.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23],"propose":[24],"a":[25,86,165,176],"novel":[26],"dual-tier":[27],"deep":[28,49],"learning-based":[29],"computational":[30],"method":[31,45,143],"to":[32,60,94,107,131,134,169,186,191,205],"automate":[33],"the":[34,65,109,116,123,135,147,197,211],"assessment":[35],"ENE":[37,173,202],"breast":[39],"cancer":[40],"sections.":[43,161],"The":[44,120],"integrates":[46],"an":[47],"improved":[48],"learning":[50],"namely":[51],"DenseNet-DMSCAMP":[52],"that":[53],"was":[54,144],"designed":[55],"histological":[57,66],"cell":[58,113],"recognition,":[59],"classify":[61],"cellular":[62],"regions":[63],"at":[64],"level":[67],"into":[68],"multiple":[69],"classes\u2014fat-only":[70],"(adipose":[71,74],"tissue),":[72],"fat-and-skin":[73],"epithelial":[76],"cells),":[77,80],"skin-only":[78],"(epithelial":[79],"skin-and-immune":[82],"(immune":[83],"cells)\u2014and":[84],"applies":[85],"density-based":[87],"active":[88],"contour":[89],"tracing":[90],"(DB-ACT)":[91],"algorithm,":[92],"akin":[93],"DBScan,":[95],"boundary":[99],"detection.":[100],"Additionally,":[101],"protrusion":[102],"measurement":[103],"algorithms":[104],"are":[105],"used":[106],"quantify":[108],"extent":[110],"invasion":[114],"beyond":[115],"capsule.":[119],"approach":[121],"addresses":[122],"limitations":[124],"manual":[126,215],"inspection,":[127],"which":[128,152],"can":[129],"lead":[130],"misdiagnosis":[132],"due":[133],"visual":[136],"complexity":[137],"whole-slide":[139,156],"images":[140,157],"(WSIs).":[141],"Our":[142],"validated":[145],"on":[146],"Camelyon17":[148],"Grand":[149],"Challenge":[150],"dataset,":[151],"comprises":[153],"H&E":[154],"stained":[155],"Experimental":[162],"results":[163],"showed":[164],"discrepancy":[166],"3.9%":[168],"11.7%":[170],"estimating":[172],"length":[174],"position":[177],"accuracy":[178],"breached":[180],"capsule":[181],"gaps":[182],"ranging":[183],"from":[184],"0.27%":[185],"8.6%,":[187],"demonstrating":[188],"performance":[189],"comparable":[190],"experienced":[192],"histologists.":[193],"These":[194],"findings":[195],"highlight":[196],"potential":[198],"our":[200],"automated":[201],"evaluation":[203],"system":[204],"improve":[206],"diagnostic":[207],"precision":[208],"alleviate":[210],"labor-intensive":[212],"task":[213],"inspection":[216],"clinical":[218],"settings.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}