{"id":"https://openalex.org/W2248316562","doi":"https://doi.org/10.1145/2668136","title":"Smart Colonography for Distributed Medical Databases with Group Kernel Feature Analysis","display_name":"Smart Colonography for Distributed Medical Databases with Group Kernel Feature Analysis","publication_year":2015,"publication_date":"2015-07-27","ids":{"openalex":"https://openalex.org/W2248316562","doi":"https://doi.org/10.1145/2668136","mag":"2248316562"},"language":"en","primary_location":{"id":"doi:10.1145/2668136","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2668136","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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/A5061499121","display_name":"Yuichi Motai","orcid":"https://orcid.org/0000-0002-1957-1896"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuichi Motai","raw_affiliation_strings":["Virginia Commonwealth University, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Commonwealth University, VA, USA","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017711265","display_name":"Dingkun Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I99418890","display_name":"Northwestern Polytechnic University","ror":"https://ror.org/05wn69s11","country_code":"US","type":"education","lineage":["https://openalex.org/I99418890"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dingkun Ma","raw_affiliation_strings":["Northwestern Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnic University","institution_ids":["https://openalex.org/I99418890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080564521","display_name":"Alen Docef","orcid":null},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alen Docef","raw_affiliation_strings":["Virginia Commonwealth University, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Commonwealth University, VA, USA","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114037387","display_name":"Hiroyuki Yoshida","orcid":"https://orcid.org/0000-0001-8998-5050"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hiroyuki Yoshida","raw_affiliation_strings":["Massachusetts General Hospital and Harvard Medical School, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital and Harvard Medical School, MA, USA","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2887,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63326869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"6","issue":"4","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8684802055358887},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.594305694103241},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5846843719482422},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.5806040167808533},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5745197534561157},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5324320197105408},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.5000650882720947},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46569547057151794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4221421480178833},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.41959941387176514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8684802055358887},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.594305694103241},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5846843719482422},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.5806040167808533},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5745197534561157},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5324320197105408},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.5000650882720947},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46569547057151794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4221421480178833},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.41959941387176514},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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:10.1145/2668136","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2668136","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4399999976158142,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G1238961038","display_name":null,"funder_award_id":"CA095279 and CA166816","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2363133207","display_name":null,"funder_award_id":"CTSA UL1TR000058","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W81463918","https://openalex.org/W1541887934","https://openalex.org/W1560724230","https://openalex.org/W1572234042","https://openalex.org/W1581520584","https://openalex.org/W1722176436","https://openalex.org/W1972482030","https://openalex.org/W1973075059","https://openalex.org/W1984992673","https://openalex.org/W1986982173","https://openalex.org/W1987668608","https://openalex.org/W1990749558","https://openalex.org/W1991033165","https://openalex.org/W1993054379","https://openalex.org/W2018247165","https://openalex.org/W2021336465","https://openalex.org/W2035266543","https://openalex.org/W2038839211","https://openalex.org/W2056321881","https://openalex.org/W2066884947","https://openalex.org/W2073930176","https://openalex.org/W2075688085","https://openalex.org/W2081989102","https://openalex.org/W2092032134","https://openalex.org/W2094205360","https://openalex.org/W2096470308","https://openalex.org/W2097738353","https://openalex.org/W2098652620","https://openalex.org/W2100726536","https://openalex.org/W2106705035","https://openalex.org/W2120087420","https://openalex.org/W2121451737","https://openalex.org/W2123636872","https://openalex.org/W2128988020","https://openalex.org/W2132715022","https://openalex.org/W2134432876","https://openalex.org/W2136549460","https://openalex.org/W2140136381","https://openalex.org/W2142387771","https://openalex.org/W2145255847","https://openalex.org/W2147996723","https://openalex.org/W2150590096","https://openalex.org/W2150621701","https://openalex.org/W2154412566","https://openalex.org/W2158698691","https://openalex.org/W2160899498","https://openalex.org/W2163214467","https://openalex.org/W2164132908","https://openalex.org/W2171388744","https://openalex.org/W4240527038","https://openalex.org/W4297984052","https://openalex.org/W6632387745","https://openalex.org/W6682887448"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W3091099154"],"abstract_inverted_index":{"Computer-Aided":[0],"Detection":[1],"(CAD)":[2],"of":[3,74,94,112,118,151],"polyps":[4],"in":[5],"Computed":[6],"Tomographic":[7],"(CT)":[8],"colonography":[9,61,68],"is":[10,83,105,120,153,163],"currently":[11],"very":[12,193],"limited":[13],"since":[14],"a":[15,66,86,127],"single":[16],"database":[17,69,88],"at":[18],"each":[19],"hospital/institution":[20],"doesn't":[21],"provide":[22],"sufficient":[23],"data":[24,44,103,178],"for":[25],"training":[26,174],"the":[27,72,91,110,116,148,159,166,173,185],"CAD":[28,95,152],"system's":[29],"classification":[30,195],"algorithm.":[31,186],"To":[32],"address":[33],"this":[34,123],"limitation,":[35],"we":[36,56,125],"propose":[37,126],"to":[38,46,84,108,142,164,169],"use":[39],"multiple":[40,48,75,143],"databases,":[41],"(e.g.,":[42],"big":[43],"studies)":[45],"create":[47,85],"institution-wide":[49],"databases":[50,145],"using":[51],"distributed":[52,78,87],"computing":[53],"technologies,":[54],"which":[55,138],"call":[57],"smart":[58],"colonography.":[59],"Smart":[60],"may":[62],"be":[63,140,170],"built":[64],"by":[65,97],"larger":[67],"networked":[70],"through":[71],"participation":[73],"institutions":[76,183],"via":[77],"computing.":[79],"The":[80,155],"motivation":[81],"herein":[82],"that":[89,115,147,190],"increases":[90],"detection":[92],"accuracy":[93],"diagnosis":[96],"covering":[98],"many":[99],"true-positive":[100],"cases.":[101],"Colonography":[102],"analysis":[104],"mutually":[106],"accessible":[107],"increase":[109],"availability":[111],"resources":[113],"so":[114,146],"knowledge":[117],"radiologists":[119],"enhanced.":[121],"In":[122],"article,":[124],"scalable":[128],"and":[129],"efficient":[130],"algorithm":[131],"called":[132],"Group":[133],"Kernel":[134],"Feature":[135],"Analysis":[136],"(GKFA),":[137],"can":[139],"applied":[141],"cancer":[144],"overall":[149],"performance":[150],"improved.":[154],"key":[156],"idea":[157],"behind":[158],"proposed":[160],"GKFA":[161,191],"method":[162],"allow":[165],"feature":[167],"space":[168],"updated":[171],"as":[172],"proceeds":[175],"with":[176],"more":[177],"being":[179],"fed":[180],"from":[181],"other":[182],"into":[184],"Experimental":[187],"results":[188],"show":[189],"achieves":[192],"good":[194],"accuracy.":[196]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
