{"id":"https://openalex.org/W3027744180","doi":"https://doi.org/10.1109/isbi45749.2020.9098663","title":"Polyp Detection in Colonoscopy Videos by Bootstrapping Via Temporal Consistency","display_name":"Polyp Detection in Colonoscopy Videos by Bootstrapping Via Temporal Consistency","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3027744180","doi":"https://doi.org/10.1109/isbi45749.2020.9098663","mag":"3027744180"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","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/A5006541769","display_name":"Yiting Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiting Ma","raw_affiliation_strings":["BEL-BITA, University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"BEL-BITA, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088031350","display_name":"Xuejin Chen","orcid":"https://orcid.org/0000-0003-0478-7018"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejin Chen","raw_affiliation_strings":["BEL-BITA, University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"BEL-BITA, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100641761","display_name":"Bin Sun","orcid":"https://orcid.org/0000-0002-7029-8784"},"institutions":[{"id":"https://openalex.org/I4210136596","display_name":"First Affiliated Hospital of Anhui Medical University","ror":"https://ror.org/03t1yn780","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210136596"]},{"id":"https://openalex.org/I197869895","display_name":"Anhui Medical University","ror":"https://ror.org/03xb04968","country_code":"CN","type":"education","lineage":["https://openalex.org/I197869895"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Sun","raw_affiliation_strings":["The First Affiliated Hospital of Anhui Medical University, China"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Anhui Medical University, China","institution_ids":["https://openalex.org/I4210136596","https://openalex.org/I197869895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006541769"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.7513,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.73253259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1360","last_page":"1363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9983000159263611,"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":0.9983000159263611,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9872000217437744,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9865999817848206,"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/bootstrapping","display_name":"Bootstrapping (finance)","score":0.8021389245986938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7980667352676392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7274141907691956},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7087793946266174},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6222035884857178},{"id":"https://openalex.org/keywords/colonoscopy","display_name":"Colonoscopy","score":0.5923891067504883},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5374259352684021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48636677861213684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3624002933502197},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.0756310522556305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07020819187164307}],"concepts":[{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.8021389245986938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7980667352676392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7274141907691956},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7087793946266174},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6222035884857178},{"id":"https://openalex.org/C2778435480","wikidata":"https://www.wikidata.org/wiki/Q840387","display_name":"Colonoscopy","level":4,"score":0.5923891067504883},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5374259352684021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48636677861213684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3624002933502197},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.0756310522556305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07020819187164307},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","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/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2000124821","https://openalex.org/W2008359794","https://openalex.org/W2108598243","https://openalex.org/W2154889144","https://openalex.org/W2285968993","https://openalex.org/W2346062110","https://openalex.org/W2560770519","https://openalex.org/W2586952804","https://openalex.org/W2746647587","https://openalex.org/W2752119587","https://openalex.org/W2796347433","https://openalex.org/W2806175674","https://openalex.org/W2884561390","https://openalex.org/W2884985635","https://openalex.org/W2891251505","https://openalex.org/W2891621179","https://openalex.org/W2963351448","https://openalex.org/W4293584584","https://openalex.org/W6754820278"],"related_works":["https://openalex.org/W1534274833","https://openalex.org/W2381279477","https://openalex.org/W3117246195","https://openalex.org/W2081850291","https://openalex.org/W156620619","https://openalex.org/W2914363205","https://openalex.org/W1598221548","https://openalex.org/W1963695443","https://openalex.org/W4287991909","https://openalex.org/W4390721878"],"abstract_inverted_index":{"Computer-aided":[0],"polyp":[1,33,56,81,102,138],"detection":[2,57,70,139,142],"during":[3],"colonoscopy":[4,59],"is":[5,37,73,113],"beneficial":[6],"to":[7,32,97],"reduce":[8],"the":[9,35,41,91,101,120,129,149],"risk":[10],"of":[11,43,79,104,109,128],"colorectal":[12],"cancers.":[13],"Deep":[14],"learning":[15],"techniques":[16],"have":[17],"made":[18],"significant":[19],"process":[20],"in":[21,58,95,119],"natural":[22],"object":[23],"detection.":[24],"However,":[25],"when":[26],"applying":[27],"those":[28],"fully":[29],"supervised":[30],"methods":[31],"detection,":[34],"performance":[36,147],"greatly":[38],"depressed":[39],"by":[40,61,115],"deficiency":[42],"labeled":[44],"data.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,83],"propose":[50],"a":[51,69,76],"novel":[52],"bootstrapping":[53],"method":[54,133],"for":[55,140],"videos":[60],"augmenting":[62],"training":[63],"data":[64],"with":[65,86],"temporal":[66,117],"consistency.":[67],"For":[68],"network":[71],"that":[72],"trained":[74],"on":[75,124,137,148],"small":[77],"set":[78],"annotated":[80],"images,":[82],"fine-tune":[84],"it":[85],"new":[87,111],"samples":[88,112],"selected":[89],"from":[90],"test":[92,121],"video":[93],"itself,":[94],"order":[96],"more":[98],"effectively":[99],"represent":[100],"morphology":[103],"current":[105],"video.":[106,122],"A":[107],"strategy":[108],"selecting":[110],"proposed":[114],"considering":[116],"consistency":[118],"Evaluated":[123],"11954":[125],"endoscopic":[126],"frames":[127],"CVC-ClinicVideoDB":[130],"dataset,":[131],"our":[132],"yields":[134],"great":[135],"improvement":[136],"several":[141],"networks,":[143],"and":[144],"achieves":[145],"state-of-the-art":[146],"benchmark":[150],"dataset.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}