{"id":"https://openalex.org/W2074469473","doi":"https://doi.org/10.1109/eidwt.2013.114","title":"Image Feature Analysis of Lymph Node Based on Cloud-Model and FCM Clustering","display_name":"Image Feature Analysis of Lymph Node Based on Cloud-Model and FCM Clustering","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2074469473","doi":"https://doi.org/10.1109/eidwt.2013.114","mag":"2074469473"},"language":"en","primary_location":{"id":"doi:10.1109/eidwt.2013.114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eidwt.2013.114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies","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/A5100621559","display_name":"Yanling Zhang","orcid":"https://orcid.org/0000-0001-8841-5064"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanling Zhang","raw_affiliation_strings":["Sch. of Comput., Guangzhou Univ., Guangzhou, China","[School of Computer, Guangzhou University, Guangzhou, China]"],"affiliations":[{"raw_affiliation_string":"Sch. of Comput., Guangzhou Univ., Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"[School of Computer, Guangzhou University, Guangzhou, China]","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782594","display_name":"Minghao Zhang","orcid":"https://orcid.org/0000-0002-3366-0465"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Zhang","raw_affiliation_strings":["Sch. of Comput., Guangzhou Univ., Guangzhou, China","[School of Computer, Guangzhou University, Guangzhou, China]"],"affiliations":[{"raw_affiliation_string":"Sch. of Comput., Guangzhou Univ., Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"[School of Computer, Guangzhou University, Guangzhou, China]","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100361177","display_name":"Li Li","orcid":"https://orcid.org/0000-0002-4712-2692"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["Sun Yat-sen Univ. Cancer Center, Guangzhou, China","Sun-Yat sen University Cancer Center, Guangzhou, China;"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen Univ. Cancer Center, Guangzhou, China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"Sun-Yat sen University Cancer Center, Guangzhou, China;","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100621559"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18408935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"633","last_page":"638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12368","display_name":"Grey System Theory Applications","score":0.9336000084877014,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lymph-node","display_name":"Lymph node","score":0.6257579326629639},{"id":"https://openalex.org/keywords/lymph","display_name":"Lymph","score":0.5857839584350586},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5618379712104797},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5599859356880188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5307690501213074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4998013973236084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48024824261665344},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4395875930786133},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4192536473274231},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3670752942562103},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.2648239731788635}],"concepts":[{"id":"https://openalex.org/C2780849966","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node","level":2,"score":0.6257579326629639},{"id":"https://openalex.org/C2779720271","wikidata":"https://www.wikidata.org/wiki/Q179422","display_name":"Lymph","level":2,"score":0.5857839584350586},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5618379712104797},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5599859356880188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5307690501213074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4998013973236084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48024824261665344},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4395875930786133},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4192536473274231},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3670752942562103},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.2648239731788635},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/eidwt.2013.114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eidwt.2013.114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1995450389","https://openalex.org/W2029888879","https://openalex.org/W2045319206"],"related_works":["https://openalex.org/W2008553569","https://openalex.org/W4361257721","https://openalex.org/W203485574","https://openalex.org/W1966798989","https://openalex.org/W2020142317","https://openalex.org/W1973402430","https://openalex.org/W4361237345","https://openalex.org/W2079912968","https://openalex.org/W2032187574","https://openalex.org/W2406121188"],"abstract_inverted_index":{"Lymph":[0],"node":[1,20,52,68],"is":[2,21,53,145,183],"one":[3],"of":[4,18,25,31,33,50,103,110,128,151,167,180,187,203],"the":[5,9,13,47,56,74,100,107,111,163,191],"important":[6,23],"organs":[7],"as":[8],"immunologic":[10],"filter":[11],"in":[12],"body.":[14],"The":[15],"pathological":[16],"change":[17],"lymph":[19,51,67,132,139,205],"an":[22,176],"basis":[24],"malignant":[26,131],"tumor":[27,59],"detection":[28],"and":[29,61,70,80,84,130,200],"judgment":[30],"metastasis":[32],"cancer":[34],"(lung":[35],"cancer,":[36,38,40,42,44],"colorectal":[37],"breast":[39],"liver":[41],"cervical":[43],"etc.).":[45],"Therefore,":[46],"feature":[48],"analysis":[49],"meaningful":[54],"for":[55,126,197],"forecast":[57],"about":[58],"recrudescence":[60],"metastasis.":[62],"Based":[63],"on":[64],"image":[65],"features,":[66],"characters":[69],"advice":[71],"from":[72],"doctors,":[73],"sixteen":[75],"features":[76,91,153,169,193],"including":[77],"shape,":[78],"texture":[79,113],"grey":[81],"are":[82,134],"extracted":[83],"analyzed":[85],"using":[86],"cloud":[87,156,172],"model.":[88],"Eight":[89],"helpful":[90],"(the":[92],"largest":[93],"area":[94,101],"ratio,":[95,99],"length":[96,104],"to":[97,105,136,147],"diameter":[98],"ratio":[102],"diameter,":[106],"standard":[108,115],"deviation":[109],"internal":[112],"changes,":[114],"differential":[116],"gray,":[117],"gray":[118],"consistency,":[119],"low":[120],"density":[121,124],"values,":[122],"high":[123],"value)":[125],"classification":[127,149,165,199],"benign":[129],"nodes":[133],"filtered":[135],"recognize":[137],"pelvic":[138,204],"nodes.":[140,206],"Improved":[141],"FCM":[142],"clustering":[143,164],"algorithm":[144],"used":[146,196],"detect":[148],"results":[150,160],"eight":[152,168,192],"achieved":[154],"by":[155,171],"model":[157,173],"analysis.":[158],"Experiment":[159],"show":[161],"that":[162,186],"ability":[166],"selected":[170],"can":[174,194],"achieve":[175],"average":[177],"recognition":[178,201],"rate":[179],"70%":[181],"which":[182],"better":[184],"than":[185],"other":[188],"features.":[189],"So":[190],"be":[195],"computer-aided":[198],"system":[202]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
