{"id":"https://openalex.org/W3128720244","doi":"https://doi.org/10.1109/bibm49941.2020.9313369","title":"Chromosome Cluster Identification Framework Based on Geometric Features and Machine Learning Algorithms","display_name":"Chromosome Cluster Identification Framework Based on Geometric Features and Machine Learning Algorithms","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3128720244","doi":"https://doi.org/10.1109/bibm49941.2020.9313369","mag":"3128720244"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5040190558","display_name":"Chengchuang Lin","orcid":"https://orcid.org/0000-0002-3514-2071"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengchuang Lin","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073156180","display_name":"Aihua Yin","orcid":"https://orcid.org/0000-0002-0324-5260"},"institutions":[{"id":"https://openalex.org/I4210143875","display_name":"Guangdong Province Women and Children Hospital","ror":"https://ror.org/0493m8x04","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143875"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aihua Yin","raw_affiliation_strings":["Guangdong Women and Children Hospital, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Women and Children Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I4210143875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022709613","display_name":"Qinglan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglan Wu","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070688060","display_name":"Hanbiao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143875","display_name":"Guangdong Province Women and Children Hospital","ror":"https://ror.org/0493m8x04","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143875"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanbiao Chen","raw_affiliation_strings":["Guangdong Women and Children Hospital, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Women and Children Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I4210143875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013643897","display_name":"Li Guo","orcid":"https://orcid.org/0000-0003-3821-4058"},"institutions":[{"id":"https://openalex.org/I4210143875","display_name":"Guangdong Province Women and Children Hospital","ror":"https://ror.org/0493m8x04","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143875"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Guo","raw_affiliation_strings":["Guangdong Women and Children Hospital, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Women and Children Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I4210143875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818721","display_name":"Gansen Zhao","orcid":"https://orcid.org/0009-0007-1526-5326"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gansen Zhao","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044447422","display_name":"Xiaomao Fan","orcid":"https://orcid.org/0000-0001-8160-1294"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomao Fan","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641952","display_name":"Haoyu Luo","orcid":"https://orcid.org/0000-0002-3201-4963"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Luo","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018683991","display_name":"Hua Tang","orcid":"https://orcid.org/0000-0002-9439-2687"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Tang","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2357","last_page":"2363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11213","display_name":"Genomic variations and chromosomal abnormalities","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T11213","display_name":"Genomic variations and chromosomal abnormalities","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10434","display_name":"Chromosomal and Genetic Variations","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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":0.6588808298110962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5905338525772095},{"id":"https://openalex.org/keywords/chromosome","display_name":"Chromosome","score":0.5622614622116089},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4880324900150299},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4484274387359619},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4310459494590759},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42624205350875854},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4185195863246918},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36632052063941956},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08953285217285156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588808298110962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5905338525772095},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.5622614622116089},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4880324900150299},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4484274387359619},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4310459494590759},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42624205350875854},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4185195863246918},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36632052063941956},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08953285217285156},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2015159529","https://openalex.org/W2097117768","https://openalex.org/W2101234009","https://openalex.org/W2108598243","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2308422796","https://openalex.org/W2339359539","https://openalex.org/W2549139847","https://openalex.org/W2618530766","https://openalex.org/W2736870608","https://openalex.org/W2892380715","https://openalex.org/W2907307617","https://openalex.org/W2907859451","https://openalex.org/W2914726756","https://openalex.org/W2940108618","https://openalex.org/W2962682625","https://openalex.org/W2963163009","https://openalex.org/W2988066048","https://openalex.org/W3036937376","https://openalex.org/W3088031459","https://openalex.org/W3106494053","https://openalex.org/W3107910009","https://openalex.org/W3115184262","https://openalex.org/W3145506661","https://openalex.org/W6637373629","https://openalex.org/W6675354045","https://openalex.org/W6758944117","https://openalex.org/W6786799016"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W4379231730","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W3147584709","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,84],"medicine,":[1],"chromosome":[2,22,44,57,64,72,94,129],"karyotype":[3,23],"analysis":[4,24],"is":[5,25,35,46,170],"vital":[6],"for":[7],"genetic":[8],"disease":[9],"diagnoses,":[10],"such":[11],"as":[12],"Edward":[13],"syndrome,":[14,16],"Patau":[15],"and":[17,37,66,121,152,186,202,219,227],"Down":[18],"syndrome.":[19],"However,":[20],"the":[21,79,85,162,172,175,180,225,228],"usually":[26],"manually":[27],"done":[28],"by":[29],"extensive":[30],"experienced":[31],"clinical":[32,50,163,230],"analysts,":[33],"which":[34,209],"tedious":[36],"time-consuming.":[38],"Consequently,":[39],"automatic":[40,43],"or":[41],"partial":[42],"karyotyping":[45],"essential":[47],"to":[48,70,75],"alleviate":[49],"analysts'":[51],"jobs.":[52],"This":[53],"paper":[54,169],"proposes":[55],"a":[56,98,205],"cluster":[58],"identification":[59],"framework":[60],"based":[61],"on":[62,199,232],"geometric":[63,95,182],"features":[65,96,183],"machine":[67,134],"learning":[68,135],"algorithms":[69],"identify":[71],"clusters":[73],"needed":[74],"further":[76],"process":[77],"in":[78,161,217],"automated":[80],"instance":[81],"segmentation":[82],"task.":[83],"proposed":[86,144,176,194],"framework,":[87],"we":[88,126,223],"first":[89],"collect":[90],"multiple":[91,187],"dimensions":[92],"of":[93,167,174],"into":[97],"feature":[99,130],"tuple,":[100],"including":[101],"object":[102],"area,":[103,106,108],"bounding":[104],"box":[105],"convex":[107],"extent,":[109],"solidity,":[110],"perimeter,":[111],"equivalent":[112],"diameter,":[113],"eccentricity,":[114],"major":[115],"axis":[116,119,123],"length,":[117,120],"minor":[118],"minor-major":[122],"ratio.":[124],"Second,":[125],"classify":[127],"these":[128],"tuples":[131],"utilizing":[132],"different":[133],"classification":[136,150],"algorithms.":[137],"The":[138,158,165],"experiment":[139],"results":[140],"show":[141],"that":[142,171],"our":[143,193,221],"method":[145,195],"yields":[146],"96.21":[147],"\u00b1":[148,154],"0.91%":[149],"accuracy":[151],"0.9832":[153],"0.0111AUC":[155],"(Area":[156],"Under":[157],"Curve)":[159],"value":[160],"dataset.":[164],"highlight":[166],"this":[168],"performance":[173],"approach":[177],"has":[178],"exceeded":[179],"existing":[181],"threshold-based":[184],"methods":[185],"end-to-end":[188],"deep":[189],"learning-based":[190],"baselines.":[191],"Moreover,":[192],"can":[196],"be":[197],"deployed":[198],"any":[200],"devices":[201],"platforms":[203],"with":[204],"Python":[206],"running":[207],"environment,":[208],"significantly":[210],"improves":[211],"application":[212],"flexibility.":[213],"To":[214],"facilitate":[215],"peers":[216],"reproducing":[218],"employing":[220],"work,":[222],"release":[224],"code":[226],"corresponding":[229],"dataset":[231],"Github.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}