{"id":"https://openalex.org/W3210654701","doi":"https://doi.org/10.1145/3477540","title":"Multi-scale Features Fusion for the Detection of Tiny Bleeding in Wireless Capsule Endoscopy Images","display_name":"Multi-scale Features Fusion for the Detection of Tiny Bleeding in Wireless Capsule Endoscopy Images","publication_year":2021,"publication_date":"2021-10-27","ids":{"openalex":"https://openalex.org/W3210654701","doi":"https://doi.org/10.1145/3477540","mag":"3210654701"},"language":"en","primary_location":{"id":"doi:10.1145/3477540","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477540","pdf_url":null,"source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"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 Internet of Things","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/A5100678072","display_name":"Feng Lu","orcid":"https://orcid.org/0000-0001-9349-1758"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Lu","raw_affiliation_strings":["Huazhong University of Science and Technology, Wu Han, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wu Han, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318462","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-4731-3226"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["The University of Sydney, Darlington, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4731-3226","affiliations":[{"raw_affiliation_string":"The University of Sydney, Darlington, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108142082","display_name":"Song Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Lin","raw_affiliation_strings":["Huazhong University of Science and Technology, Wu Han, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wu Han, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104009062","display_name":"Chengwangli Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwangli Peng","raw_affiliation_strings":["Huazhong University of Science and Technology, Wu Han, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wu Han, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443935","display_name":"Zhiyong Wang","orcid":"https://orcid.org/0000-0002-8043-0312"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhiyong Wang","raw_affiliation_strings":["The University of Sydney, Darlington, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney, Darlington, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015115331","display_name":"Bin Qian","orcid":"https://orcid.org/0000-0002-0048-1487"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bin Qian","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072670483","display_name":"Rajiv Ranjan","orcid":"https://orcid.org/0000-0002-6610-1328"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rajiv Ranjan","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065741507","display_name":"Hai Jin","orcid":"https://orcid.org/0009-0003-8055-3587"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Jin","raw_affiliation_strings":["Huazhong University of Science and Technology, Wu Han, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wu Han, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015993565","display_name":"Albert Y. Zomaya","orcid":"https://orcid.org/0000-0002-3090-1059"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Albert Y. Zomaya","raw_affiliation_strings":["The University of Sydney, Darlington, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney, Darlington, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4876,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6561595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3","issue":"1","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"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/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"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/capsule-endoscopy","display_name":"Capsule endoscopy","score":0.8028323650360107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6301411986351013},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6029655933380127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5845389366149902},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36672770977020264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35893943905830383},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3177993893623352},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2999832332134247}],"concepts":[{"id":"https://openalex.org/C2777333622","wikidata":"https://www.wikidata.org/wiki/Q116753","display_name":"Capsule endoscopy","level":2,"score":0.8028323650360107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301411986351013},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6029655933380127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5845389366149902},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36672770977020264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35893943905830383},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3177993893623352},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2999832332134247},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477540","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477540","pdf_url":null,"source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"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 Internet of Things","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1993527699","https://openalex.org/W1996498812","https://openalex.org/W2146704338","https://openalex.org/W2168356304","https://openalex.org/W2568772110","https://openalex.org/W2581082771","https://openalex.org/W2593079592","https://openalex.org/W2623902889","https://openalex.org/W2625219738","https://openalex.org/W2804854817","https://openalex.org/W2899607431","https://openalex.org/W3127930879","https://openalex.org/W4238860083","https://openalex.org/W4249142012","https://openalex.org/W4249914127","https://openalex.org/W4249928010","https://openalex.org/W4253187911","https://openalex.org/W4255556797","https://openalex.org/W4300871608"],"related_works":["https://openalex.org/W2608489025","https://openalex.org/W182326524","https://openalex.org/W2316510287","https://openalex.org/W2412302037","https://openalex.org/W2609695940","https://openalex.org/W3024603824","https://openalex.org/W1537084870","https://openalex.org/W4388517563","https://openalex.org/W2440623997","https://openalex.org/W4386159726"],"abstract_inverted_index":{"Wireless":[0],"capsule":[1,160,221],"endoscopy":[2,161,222],"is":[3,37,98,108,124,146],"a":[4,29,86,122,177,194,214,243],"modern":[5],"non-invasive":[6],"Internet":[7],"of":[8,44,79,104,117,182,247,255],"Medical":[9],"Imaging":[10],"Things":[11],"that":[12,217,230],"has":[13,210,242,278],"been":[14,59,211],"increasingly":[15],"used":[16,148],"in":[17,31,89,193,253],"gastrointestinal":[18,92],"tract":[19],"examination.":[20],"With":[21],"about":[22],"one":[23],"gigabyte":[24],"image":[25],"data":[26],"generated":[27],"for":[28,55,101,133,202,267],"patient":[30],"each":[32,166,189],"examination,":[33],"automatic":[34],"lesion":[35,56],"detection":[36,57,205],"highly":[38,109],"desirable":[39],"to":[40,72,76,111,126,153,197,249,263,289],"improve":[41],"the":[42,45,77,112,155,179,198,264,279,283],"efficiency":[43],"diagnosis":[46,103,286],"process":[47],"and":[48,67,115,128,135,139,163,191,238,251,258,270,282],"mitigate":[49],"human":[50],"errors.":[51],"Despite":[52],"many":[53],"approaches":[54,266],"have":[58],"proposed,":[60],"they":[61],"mainly":[62],"focus":[63],"on":[64,213],"large":[65,138,269],"lesions":[66,74,84,97,185],"are":[68,85,186],"not":[69],"directly":[70],"applicable":[71],"tiny":[73,95,140,271],"due":[75],"limitations":[78],"feature":[80,143],"representation.":[81],"As":[82,176],"bleeding":[83,96,272],"common":[87],"symptom":[88],"most":[90],"serious":[91],"diseases,":[93,106],"detecting":[94,134],"extremely":[99],"important":[100],"early":[102],"those":[105,183],"which":[107,241],"relevant":[110],"survival,":[113],"treatment,":[114],"expenses":[116],"patients.":[118],"In":[119],"this":[120],"article,":[121],"method":[123,209,232],"proposed":[125,208],"extract":[127,154],"fuse":[129],"multi-scale":[130,291],"deep":[131],"features":[132,157,180],"locating":[136],"both":[137,268],"lesions.":[141,175,273],"A":[142],"extracting":[144],"network":[145,152],"first":[147],"as":[149,173],"our":[150,231,275],"backbone":[151],"basic":[156],"from":[158],"wireless":[159,220],"images,":[162],"then":[164],"at":[165,188],"layer":[167,201],"multiple":[168],"regions":[169],"could":[170],"be":[171],"identified":[172],"potential":[174,184],"result,":[178],"maps":[181],"obtained":[187],"level":[190],"fused":[192],"top-down":[195],"manner":[196],"fully":[199],"connected":[200],"producing":[203],"final":[204],"results.":[206],"Our":[207],"evaluated":[212],"clinical":[215,225],"dataset":[216],"contains":[218],"20,000":[219],"images":[223],"with":[224],"annotation.":[226],"Experimental":[227],"results":[228],"demonstrate":[229],"can":[233],"achieve":[234],"98.9%":[235],"prediction":[236],"accuracy":[237],"93.5%":[239],"score,":[240,259],"significant":[244],"performance":[245,287],"improvement":[246],"up":[248],"31.69%":[250],"22.12%":[252],"terms":[254],"recall":[256],"rate":[257],"respectively,":[260],"when":[261],"compared":[262,288],"state-of-the-art":[265,290],"Moreover,":[274],"model":[276],"also":[277],"highest":[280],"AP":[281],"best":[284],"medical":[285],"models.":[292]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}