{"id":"https://openalex.org/W4408324644","doi":"https://doi.org/10.1109/globecom52923.2024.10901094","title":"Advanced Real-Time IoMT System for Early Gastric Cancer Detection through Integrated Grid-Search Multimodal Gating Network and Robust Embedded Technology","display_name":"Advanced Real-Time IoMT System for Early Gastric Cancer Detection through Integrated Grid-Search Multimodal Gating Network and Robust Embedded Technology","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408324644","doi":"https://doi.org/10.1109/globecom52923.2024.10901094"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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":null,"display_name":"Xian-Xian Liu","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":"Xian-Xian Liu","raw_affiliation_strings":["University of Macau,The Department of Computer and Information Science,Macau SAR,China"],"affiliations":[{"raw_affiliation_string":"University of Macau,The Department of Computer and Information Science,Macau SAR,China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030409594","display_name":"Mingkun Xu","orcid":"https://orcid.org/0000-0003-4329-8735"},"institutions":[{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingkun Xu","raw_affiliation_strings":["Guangdong Institute of Intelligence Science and Technology,Zhuhai,China"],"affiliations":[{"raw_affiliation_string":"Guangdong Institute of Intelligence Science and Technology,Zhuhai,China","institution_ids":["https://openalex.org/I32820368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085991955","display_name":"Yuanyuan Wei","orcid":"https://orcid.org/0000-0003-1886-0407"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuanyuan Wei","raw_affiliation_strings":["The Chinese University of Hong Kong,The Department of Biomedical Engineering,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,The Department of Biomedical Engineering,Hong Kong SAR","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101324404","display_name":"Huifeng Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifeng Yin","raw_affiliation_strings":["Tsinghua University,Center for Brain-InspiredComputing Research (CBICR),Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Center for Brain-InspiredComputing Research (CBICR),Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"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 Fong","raw_affiliation_strings":["University of Macau,The Department of Computer and Information Science,Macau SAR of China"],"affiliations":[{"raw_affiliation_string":"University of Macau,The Department of Computer and Information Science,Macau SAR of China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070235642","display_name":"Wei Luo","orcid":"https://orcid.org/0000-0003-4016-765X"},"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":"Wei Luo","raw_affiliation_strings":["The First People's Hospital of Foshan,The Director of the Institute of Clinical Medicine,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"The First People's Hospital of Foshan,The Director of the Institute of Clinical Medicine,Guangzhou,China","institution_ids":["https://openalex.org/I4210105740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037767553","display_name":"Juntao Gao","orcid":"https://orcid.org/0000-0001-8309-2200"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juntao Gao","raw_affiliation_strings":["Tsinghua University,The Beijing National Research Center for Information Science and Technology (BNRist),Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,The Beijing National Research Center for Information Science and Technology (BNRist),Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31358369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"432","last_page":"437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.218299999833107,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.218299999833107,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.2126999944448471,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.20499999821186066,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6754356026649475},{"id":"https://openalex.org/keywords/gating","display_name":"Gating","score":0.5667031407356262},{"id":"https://openalex.org/keywords/power-gating","display_name":"Power gating","score":0.49154743552207947},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.45153293013572693},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3833080530166626},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3622583746910095},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1598210334777832},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06983476877212524},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06434682011604309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6754356026649475},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.5667031407356262},{"id":"https://openalex.org/C2780700455","wikidata":"https://www.wikidata.org/wiki/Q7236515","display_name":"Power gating","level":4,"score":0.49154743552207947},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.45153293013572693},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3833080530166626},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3622583746910095},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1598210334777832},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06983476877212524},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06434682011604309},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom52923.2024.10901094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":18,"referenced_works":["https://openalex.org/W3148874463","https://openalex.org/W3172863135","https://openalex.org/W3213321731","https://openalex.org/W3216196214","https://openalex.org/W4224237482","https://openalex.org/W4225927986","https://openalex.org/W4294691648","https://openalex.org/W4312547100","https://openalex.org/W4318969618","https://openalex.org/W4322745663","https://openalex.org/W4360770834","https://openalex.org/W4379746005","https://openalex.org/W4382053762","https://openalex.org/W4384158228","https://openalex.org/W4386921521","https://openalex.org/W4391094989","https://openalex.org/W4393851152","https://openalex.org/W4394910831"],"related_works":["https://openalex.org/W2138099459","https://openalex.org/W2031449089","https://openalex.org/W2112596406","https://openalex.org/W2125499229","https://openalex.org/W2072696177","https://openalex.org/W4387096269","https://openalex.org/W4387096026","https://openalex.org/W2259094912","https://openalex.org/W1987649265","https://openalex.org/W2371329481"],"abstract_inverted_index":{"Achieving":[0],"real-time,":[1],"remote":[2],"control":[3],"and":[4,39,90,102,130],"precise":[5],"localization":[6],"of":[7,36,96,100,105],"early":[8],"gastric":[9],"cancer":[10],"(EGC)":[11],"lesions":[12],"in":[13,20,127],"endoscopic":[14],"capsules":[15],"is":[16],"a":[17,49,77,124],"significant":[18,125],"obstacle":[19],"biomedical":[21],"imaging":[22],"development.":[23],"This":[24,64],"work":[25,47],"outlines":[26],"an":[27,33,68,94,103],"innovative":[28],"integrated":[29],"system":[30],"that":[31],"uses":[32],"effective":[34],"combination":[35],"Zynq":[37],"UltraScale+":[38],"Gizwits":[40],"IoT":[41],"to":[42],"overcome":[43],"this":[44],"challenge.":[45],"Our":[46],"employs":[48],"fully":[50],"convolutional":[51],"neural":[52],"network":[53],"underpinning":[54],"grid-search":[55],"clustering-driven":[56],"multi-modals":[57],"gating":[58],"information":[59],"local":[60],"patch":[61],"learning":[62],"(GS-MGIF-LPLs).":[63],"system,":[65],"designed":[66],"as":[67],"adaptive":[69],"location":[70],"computing":[71],"acceleration":[72],"platform":[73],"(ACAP),":[74],"elegantly":[75],"marries":[76],"double":[78],"threshold":[79],"fast":[80],"search":[81],"strategy":[82],"with":[83,93],"patch-based":[84],"FCNN,":[85],"fueling":[86],"efficient":[87],"training,":[88],"testing,":[89],"performance":[91],"metrics":[92],"accuracy":[95],"99.53%,":[97],"precision":[98],"coefficient":[99],"86.06%,":[101],"IoU":[104],"84.26%.":[106],"Upon":[107],"benchmarking":[108],"against":[109,119],"four":[110],"EGC":[111],"types,":[112],"our":[113],"GS-MGIF-LPLs":[114],"model":[115],"demonstrates":[116],"exceptional":[117],"superiority":[118],"five":[120],"established":[121],"methods,":[122],"providing":[123],"stride":[126],"computational":[128],"efficiency":[129],"diagnostic":[131],"advancements":[132],"for":[133],"gastrointestinal":[134],"diseases.":[135]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
