{"id":"https://openalex.org/W4402351595","doi":"https://doi.org/10.1109/access.2024.3456100","title":"Efficiency Meets Accuracy: Benchmarking Object Detection Models for Pathology Detection in Wireless Capsule Endoscopy","display_name":"Efficiency Meets Accuracy: Benchmarking Object Detection Models for Pathology Detection in Wireless Capsule Endoscopy","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402351595","doi":"https://doi.org/10.1109/access.2024.3456100"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3456100","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3456100","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3456100","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053994870","display_name":"Tsedeke Temesgen Habe","orcid":"https://orcid.org/0000-0003-1475-237X"},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Tsedeke Temesgen Habe","raw_affiliation_strings":["School of Computing, University of Eastern Finland, Kuopio, Finland"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Eastern Finland, Kuopio, Finland","institution_ids":["https://openalex.org/I175532246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109056542","display_name":"Keijo Haataja","orcid":null},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Keijo Haataja","raw_affiliation_strings":["School of Computing, University of Eastern Finland, Kuopio, Finland"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Eastern Finland, Kuopio, Finland","institution_ids":["https://openalex.org/I175532246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114254232","display_name":"Pekka Toivanen","orcid":null},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Pekka Toivanen","raw_affiliation_strings":["School of Computing, University of Eastern Finland, Kuopio, Finland"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Eastern Finland, Kuopio, Finland","institution_ids":["https://openalex.org/I175532246"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053994870"],"corresponding_institution_ids":["https://openalex.org/I175532246"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.7835,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90531201,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"126793","last_page":"126817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9984999895095825,"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":0.9984999895095825,"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":0.8720917701721191},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8180708885192871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6724317073822021},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6197724938392639},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5051975846290588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49238121509552},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4729171395301819},{"id":"https://openalex.org/keywords/endoscopy","display_name":"Endoscopy","score":0.4516599774360657},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4120349586009979},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.302815318107605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29932698607444763},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21335604786872864},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08869296312332153}],"concepts":[{"id":"https://openalex.org/C2777333622","wikidata":"https://www.wikidata.org/wiki/Q116753","display_name":"Capsule endoscopy","level":2,"score":0.8720917701721191},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8180708885192871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6724317073822021},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6197724938392639},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5051975846290588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49238121509552},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4729171395301819},{"id":"https://openalex.org/C2778451229","wikidata":"https://www.wikidata.org/wiki/Q212809","display_name":"Endoscopy","level":2,"score":0.4516599774360657},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4120349586009979},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.302815318107605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29932698607444763},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21335604786872864},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08869296312332153},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3456100","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3456100","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:814a763825724c0cab46d0d272c211ec","is_oa":true,"landing_page_url":"https://doaj.org/article/814a763825724c0cab46d0d272c211ec","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 126793-126817 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3456100","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3456100","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2070210159","https://openalex.org/W2557728737","https://openalex.org/W2623808523","https://openalex.org/W2955425717","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2980189697","https://openalex.org/W2981845866","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3106250896","https://openalex.org/W3111718391","https://openalex.org/W3164631742","https://openalex.org/W3172507542","https://openalex.org/W3187743275","https://openalex.org/W4211256381","https://openalex.org/W4225365040","https://openalex.org/W4282984167","https://openalex.org/W4293584584","https://openalex.org/W4311726887","https://openalex.org/W4321210018","https://openalex.org/W4324100838","https://openalex.org/W4327948463","https://openalex.org/W4366288293","https://openalex.org/W4389162868","https://openalex.org/W4389205848","https://openalex.org/W4389639022","https://openalex.org/W4391667369","https://openalex.org/W4392658410","https://openalex.org/W6620707391","https://openalex.org/W6750227808","https://openalex.org/W6762718338","https://openalex.org/W6770600958","https://openalex.org/W6785652829","https://openalex.org/W6847876731","https://openalex.org/W6861604120"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W2030791992","https://openalex.org/W2911530698","https://openalex.org/W2046724898","https://openalex.org/W2393961942","https://openalex.org/W4388517162","https://openalex.org/W2351842087"],"abstract_inverted_index":{"Wireless":[0],"capsule":[1],"endoscopy":[2],"(WCE)":[3],"is":[4,225],"a":[5,69,81,186],"huge":[6],"step":[7],"forward":[8],"in":[9,12,140,179,204,231],"diagnosing":[10],"problems":[11],"the":[13,23,40,75,120,137,161,173,177,242,253],"digestive":[14],"system":[15],"because":[16],"it":[17],"can":[18,249],"take":[19],"pictures":[20],"without":[21],"hurting":[22],"patient.":[24],"As":[25],"part":[26],"of":[27,43,83,111,122,156,181,189,198,222,255],"this":[28,223],"study,":[29],"we":[30],"thoroughly":[31],"test":[32],"anomaly":[33],"detection":[34,64,246],"models":[35,65,112,127,214,247],"that":[36,128,132,175,248],"were":[37,66,129,136,201],"created":[38],"with":[39,146,169],"specific":[41],"goal":[42],"finding":[44,143],"WCE":[45,256],"disease.":[46],"The":[47,78,126],"Single":[48],"Shot":[49],"Multibox":[50],"Detector":[51],"(SSD),":[52],"EfficientDet,":[53],"Faster":[54,114],"RCNN,":[55],"RetinaNet,":[56],"yolov3,":[57],"Real-Time":[58],"Multi-Detector":[59],"(RTMDet),":[60],"and":[61,99,103,108,134,154,206,210,229],"semi-supervised":[62,109,123,213],"learning":[63],"tested":[67,130],"on":[68,241],"translated":[70],"MS":[71],"COCO":[72],"dataset":[73,79],"from":[74],"Kvasir-Capsule":[76],"repository.":[77],"has":[80],"variety":[82],"gastrointestinal":[84],"abnormalities.":[85],"We":[86,105],"used":[87,251],"three":[88],"main":[89],"evaluation":[90],"methods:":[91],"normalized":[92],"confusion":[93],"matrices":[94],"for":[95,212,252],"class-specific":[96],"accuracy,":[97],"macro":[98],"weighted":[100],"averages(precision,":[101],"recall,":[102,153],"F-score).":[104],"compared":[106],"normal":[107],"versions":[110],"like":[113,215],"RCNN":[115,218],"to":[116,208,226],"find":[117],"out":[118],"what":[119],"benefits":[121],"methods":[124],"are.":[125],"showed":[131],"RTMDet-S":[133],"RTMDet-Tiny":[135],"most":[138,243],"accurate":[139],"their":[141,233],"class,":[142],"complex":[144],"diseases":[145],"over":[147],"99%":[148],"accuracy.":[149],"With":[150],"an":[151],"precision,":[152],"F-score":[155],"99.67%,":[157],"SSD300":[158],"also":[159],"had":[160],"best":[162,178],"total":[163],"result":[164],"among":[165],"statistics":[166],"measures.":[167],"Along":[168],"that,":[170],"YOLOv3":[171],"was":[172],"model":[174],"worked":[176],"terms":[180],"operating":[182],"economy.":[183],"It":[184],"achieved":[185],"frame":[187],"rate":[188],"92.1":[190],"frames":[191],"per":[192],"second":[193],"while":[194],"using":[195],"only":[196],"376MiB":[197],"memory.":[199],"There":[200],"big":[202],"improvements":[203],"sensitivity":[205],"specificity":[207],"98.70%":[209],"99.84%":[211],"Soft-teacher":[216],"(Faster":[217],"+":[219],"ResNet).The":[220],"purpose":[221],"study":[224],"assist":[227],"researchers":[228],"clinicians":[230],"improving":[232],"diagnostic":[234],"abilities":[235],"by":[236],"providing":[237],"highly":[238],"informative":[239],"information":[240],"effective":[244],"object":[245],"be":[250],"identification":[254],"pathology.":[257]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
