{"id":"https://openalex.org/W2891621179","doi":"https://doi.org/10.1109/icpr.2018.8545174","title":"An Efficient Approach for Polyps Detection in Endoscopic Videos Based on Faster R-CNN","display_name":"An Efficient Approach for Polyps Detection in Endoscopic Videos Based on Faster R-CNN","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2891621179","doi":"https://doi.org/10.1109/icpr.2018.8545174","mag":"2891621179"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5020309614","display_name":"Xi Mo","orcid":"https://orcid.org/0000-0002-3016-3308"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xi Mo","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science, University of Kansas, Kansas, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, University of Kansas, Kansas, USA","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070347565","display_name":"Ke Tao","orcid":"https://orcid.org/0000-0003-3188-9028"},"institutions":[{"id":"https://openalex.org/I4210125137","display_name":"First Hospital of Jilin University","ror":"https://ror.org/034haf133","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210125137"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Tao","raw_affiliation_strings":["The First Hospital of Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"The First Hospital of Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210125137","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418253","display_name":"Quan Wang","orcid":"https://orcid.org/0000-0002-2821-5017"},"institutions":[{"id":"https://openalex.org/I4210125137","display_name":"First Hospital of Jilin University","ror":"https://ror.org/034haf133","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210125137"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Wang","raw_affiliation_strings":["The First Hospital of Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"The First Hospital of Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210125137","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100399485","display_name":"Guanghui Wang","orcid":"https://orcid.org/0000-0003-3182-104X"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guanghui Wang","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science, University of Kansas, Kansas, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, University of Kansas, Kansas, USA","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020309614"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":4.9052,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.96846901,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3929","last_page":"3934"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9980000257492065,"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":0.9980000257492065,"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/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9610000252723694,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9409000277519226,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7976183891296387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7932405471801758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6900975108146667},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5797401666641235},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5727601051330566},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5544480681419373},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5288233160972595},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5038051009178162},{"id":"https://openalex.org/keywords/cancer-detection","display_name":"Cancer detection","score":0.45766714215278625},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44781047105789185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4475109875202179},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4386945366859436},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.1454409956932068},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.10186150670051575},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07588666677474976}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7976183891296387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932405471801758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6900975108146667},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5797401666641235},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5727601051330566},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5544480681419373},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5288233160972595},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5038051009178162},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.45766714215278625},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44781047105789185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4475109875202179},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4386945366859436},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.1454409956932068},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.10186150670051575},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07588666677474976},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1984923491","https://openalex.org/W2008359794","https://openalex.org/W2034269173","https://openalex.org/W2077474654","https://openalex.org/W2102605133","https://openalex.org/W2179352600","https://openalex.org/W2273897973","https://openalex.org/W2285544990","https://openalex.org/W2285968993","https://openalex.org/W2346062110","https://openalex.org/W2394987826","https://openalex.org/W2462230430","https://openalex.org/W2560328367","https://openalex.org/W2560770519","https://openalex.org/W2570343428","https://openalex.org/W2586952804","https://openalex.org/W2593103270","https://openalex.org/W2735991826","https://openalex.org/W2739465613","https://openalex.org/W2739733416","https://openalex.org/W2795981973","https://openalex.org/W2963150697","https://openalex.org/W3106250896","https://openalex.org/W6676338569","https://openalex.org/W6694321815","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2949096641","https://openalex.org/W2969228573","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W2963690996","https://openalex.org/W4254103348"],"abstract_inverted_index":{"Polyp":[0],"has":[1],"long":[2],"been":[3,85],"considered":[4],"as":[5],"one":[6],"of":[7,27,38,56,63,109,144],"the":[8,20,53,60,105,125,141,145,155],"major":[9],"etiologies":[10],"to":[11,52],"colorectal":[12],"cancer":[13],"which":[14],"is":[15,133,164],"a":[16,46,120],"fatal":[17],"disease":[18],"around":[19],"world,":[21],"thus":[22],"early":[23],"detection":[24,90],"and":[25,78,162],"recognition":[26],"polyps":[28,39,149],"plays":[29],"an":[30,165],"crucial":[31],"role":[32],"in":[33,91,107,112],"clinical":[34,169],"routines.":[35],"Accurate":[36],"diagnoses":[37],"through":[40],"endoscopes":[41],"operated":[42],"by":[43],"physicians":[44],"becomes":[45],"chanllenging":[47],"task":[48],"not":[49],"only":[50],"due":[51],"varying":[54],"expertise":[55],"physicians,":[57],"but":[58],"also":[59],"inherent":[61],"nature":[62],"endoscopic":[64,92],"inspections.":[65],"To":[66],"facilitate":[67],"this":[68,118],"process,":[69],"computer-aid":[70],"techniques":[71],"that":[72,154],"emphasize":[73],"on":[74,148],"fully-conventional":[75],"image":[76],"processing":[77],"novel":[79],"machine":[80],"learning":[81,101],"enhanced":[82],"approaches":[83,147],"have":[84],"dedicatedly":[86],"designed":[87],"for":[88,114,135,168],"polyp":[89,136],"videos":[93],"or":[94],"images.":[95],"Among":[96],"all":[97],"proposed":[98],"algorithms,":[99],"deep":[100],"based":[102],"methods":[103],"take":[104],"lead":[106],"terms":[108],"multiple":[110],"metrics":[111],"evolutions":[113],"algorithmic":[115],"performance.":[116],"In":[117,138],"work,":[119],"highly":[121],"effective":[122],"model,":[123],"namely":[124],"faster":[126],"region-based":[127],"convolutional":[128],"neural":[129],"network":[130],"(Faster":[131],"R-CNN)":[132],"implemented":[134],"detection.":[137],"comparison":[139],"with":[140],"reported":[142],"results":[143],"state-of-the-art":[146],"detection,":[150],"extensive":[151],"experiments":[152],"demonstrate":[153],"Faster":[156],"R-CNN":[157],"achieves":[158],"very":[159],"competing":[160],"results,":[161],"it":[163],"efficient":[166],"approach":[167],"practice.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":13}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}