{"id":"https://openalex.org/W4205593184","doi":"https://doi.org/10.1109/bibm52615.2021.9669892","title":"Global Correlation and Local Geometric Information Coupled Channel Contrast Learning for Thyroid Nodule Risk Stratification","display_name":"Global Correlation and Local Geometric Information Coupled Channel Contrast Learning for Thyroid Nodule Risk Stratification","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4205593184","doi":"https://doi.org/10.1109/bibm52615.2021.9669892"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669892","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5029419012","display_name":"Yang Guo","orcid":"https://orcid.org/0000-0002-3245-3069"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Guo","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Bejing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Bejing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036426775","display_name":"Yuanbo He","orcid":"https://orcid.org/0000-0001-8656-4496"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbo He","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Bejing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Bejing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424111","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0002-8696-8594"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Bejing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Bejing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026732082","display_name":"Ting Shu","orcid":"https://orcid.org/0000-0002-7259-2362"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Shu","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Bejing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Bejing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057087135","display_name":"Luying Gao","orcid":"https://orcid.org/0000-0001-7318-3897"},"institutions":[{"id":"https://openalex.org/I2801228662","display_name":"Peking Union Medical College Hospital","ror":"https://ror.org/04jztag35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801228662"]},{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luying Gao","raw_affiliation_strings":["Department of Ultrasound, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, China","institution_ids":["https://openalex.org/I2801228662","https://openalex.org/I200296433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029419012"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.1257,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39072724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"868","last_page":"875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.994700014591217,"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":0.994700014591217,"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/T10146","display_name":"Cervical Cancer and HPV Research","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10329","display_name":"Thyroid Cancer Diagnosis and Treatment","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6131632328033447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6037954092025757},{"id":"https://openalex.org/keywords/stratification","display_name":"Stratification (seeds)","score":0.591704785823822},{"id":"https://openalex.org/keywords/risk-stratification","display_name":"Risk stratification","score":0.5367487668991089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5360337495803833},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5204677581787109},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.4891059994697571},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.4399745762348175},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43842217326164246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4324294328689575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3764715790748596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32455122470855713},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.30874502658843994},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.29780828952789307},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13334399461746216},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10569828748703003},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08269259333610535}],"concepts":[{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6131632328033447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6037954092025757},{"id":"https://openalex.org/C192943249","wikidata":"https://www.wikidata.org/wiki/Q1893382","display_name":"Stratification (seeds)","level":5,"score":0.591704785823822},{"id":"https://openalex.org/C3020404979","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk stratification","level":2,"score":0.5367487668991089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5360337495803833},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5204677581787109},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.4891059994697571},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.4399745762348175},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43842217326164246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4324294328689575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3764715790748596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32455122470855713},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.30874502658843994},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.29780828952789307},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13334399461746216},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10569828748703003},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08269259333610535},{"id":"https://openalex.org/C100701293","wikidata":"https://www.wikidata.org/wiki/Q193838","display_name":"Germination","level":2,"score":0.0},{"id":"https://openalex.org/C88548481","wikidata":"https://www.wikidata.org/wiki/Q2397491","display_name":"Seed dormancy","level":4,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C3527866","wikidata":"https://www.wikidata.org/wiki/Q162267","display_name":"Dormancy","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669892","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324787","display_name":"Peking University","ror":"https://ror.org/02v51f717"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2077963729","https://openalex.org/W2138621090","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2435760661","https://openalex.org/W2586307770","https://openalex.org/W2603963723","https://openalex.org/W2741754476","https://openalex.org/W2809903694","https://openalex.org/W2891951760","https://openalex.org/W2956423933","https://openalex.org/W2961018736","https://openalex.org/W2963351448","https://openalex.org/W2979715555","https://openalex.org/W3002249558","https://openalex.org/W3005430891","https://openalex.org/W3094551612","https://openalex.org/W3115330129","https://openalex.org/W4288622677","https://openalex.org/W4295312788","https://openalex.org/W4297775537","https://openalex.org/W6637373629","https://openalex.org/W6737664043","https://openalex.org/W6759000249","https://openalex.org/W6766978945","https://openalex.org/W6768869323"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2033590167","https://openalex.org/W1583810757","https://openalex.org/W2001086065","https://openalex.org/W4225386859"],"abstract_inverted_index":{"Thyroid":[0],"nodule":[1,36,45,76,212],"risk":[2,41,77,109,123,163,213],"stratification":[3,21,42,78,110,124,164],"based":[4,79],"on":[5,80],"ultra-sound":[6],"images":[7],"is":[8,51,100,142,174],"vital":[9],"for":[10,74,107,161],"follow-up":[11],"clinical":[12],"treatment.":[13],"Due":[14],"to":[15,27,37,102,179,187,207],"the":[16,19,34,39,43,91,104,121,128,135,145,149,159,181,190,199],"complexity":[17],"of":[18,33,148,184],"inter-risk":[20],"difference,":[22],"experienced":[23],"physicians":[24],"are":[25,165],"required":[26],"comprehensively":[28],"analyze":[29],"all":[30],"ultrasound":[31,81,114,132,155,185],"signs":[32,115,133,156,186],"thyroid":[35,44,75,211],"diagnose":[38],"corresponding":[40],"should":[46],"belong":[47],"to,":[48],"however,":[49],"which":[50],"often":[52],"labor-intensive,":[53],"subjective,":[54],"and":[55,65,194,205],"unstable.":[56],"To":[57,126],"this":[58],"end,":[59],"we":[60],"propose":[61],"a":[62,84,95,137,169],"global":[63,138],"correlation":[64,129,139,151],"local":[66,166,170,182],"geometric":[67],"information":[68,183],"coupled":[69],"channel":[70,85,150],"contrast":[71,86],"learning":[72,87,93,140,172],"network":[73],"images.":[82],"Specifically,":[83],"module":[88,141,173],"by":[89,144],"combining":[90],"contrastive":[92],"with":[94],"novel":[96],"cross-class":[97],"interaction":[98],"strategy":[99],"proposed":[101,143,175,200],"obtain":[103],"discriminative":[105],"feature":[106],"different":[108,131],"levels.":[111],"Furthermore,":[112],"multiple":[113],"may":[116],"be":[117,208],"observed":[118],"simultaneously":[119],"in":[120,210],"same":[122],"level.":[125],"introduce":[127],"among":[130],"into":[134],"feature,":[136],"spectral":[146],"decomposition":[147],"matrix.":[152],"Additionally,":[153],"some":[154],"used":[157],"as":[158],"basis":[160],"judging":[162],"characteristics.":[167],"Therefore,":[168],"geometry":[171],"using":[176],"gradient":[177],"matrix":[178],"model":[180],"further":[188],"strengthen":[189],"feature.":[191],"Extensive":[192],"experiments":[193],"comprehensive":[195],"evaluations":[196],"confirm":[197],"that":[198],"method":[201],"achieves":[202],"superior":[203],"performance":[204],"presents":[206],"promising":[209],"stratification.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}