{"id":"https://openalex.org/W2296118542","doi":"https://doi.org/10.1109/icip.2015.7351368","title":"Computer aided endoscope diagnosis via weakly labeled data mining","display_name":"Computer aided endoscope diagnosis via weakly labeled data mining","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2296118542","doi":"https://doi.org/10.1109/icip.2015.7351368","mag":"2296118542"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5053892249","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0003-3730-6401"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006477225","display_name":"Yang Cong","orcid":"https://orcid.org/0000-0002-5102-0189"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cong","raw_affiliation_strings":["State Key Laboratory of Robotics, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001938430","display_name":"Huijie Fan","orcid":"https://orcid.org/0000-0002-8548-861X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijie Fan","raw_affiliation_strings":["State Key Laboratory of Robotics, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057933211","display_name":"Yunsheng Yang","orcid":"https://orcid.org/0000-0003-0361-7674"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunsheng Yang","raw_affiliation_strings":["Chinese PLA General Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese PLA General Hospital","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091319287","display_name":"Yandong Tang","orcid":"https://orcid.org/0000-0003-3805-7654"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Tang","raw_affiliation_strings":["State Key Laboratory of Robotics, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063377357","display_name":"Huaici Zhao","orcid":"https://orcid.org/0000-0002-7772-8652"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaici Zhao","raw_affiliation_strings":["State Key Laboratory of Robotics, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1727,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79151177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"98","issue":null,"first_page":"3072","last_page":"3076"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9944999814033508,"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":0.9944999814033508,"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":0.9933000206947327,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9577999711036682,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.774869441986084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7630727291107178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.751564621925354},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6087648868560791},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5667471885681152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5613296627998352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5300493240356445},{"id":"https://openalex.org/keywords/endoscope","display_name":"Endoscope","score":0.47606533765792847},{"id":"https://openalex.org/keywords/computer-aided","display_name":"Computer-aided","score":0.45460671186447144},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.05747014284133911}],"concepts":[{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.774869441986084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7630727291107178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.751564621925354},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6087648868560791},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5667471885681152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5613296627998352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5300493240356445},{"id":"https://openalex.org/C2776820786","wikidata":"https://www.wikidata.org/wiki/Q580725","display_name":"Endoscope","level":2,"score":0.47606533765792847},{"id":"https://openalex.org/C2780727963","wikidata":"https://www.wikidata.org/wiki/Q5157368","display_name":"Computer-aided","level":2,"score":0.45460671186447144},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.05747014284133911},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/W1540386283","https://openalex.org/W1766329497","https://openalex.org/W2017117888","https://openalex.org/W2053784471","https://openalex.org/W2058408725","https://openalex.org/W2061218144","https://openalex.org/W2078579128","https://openalex.org/W2098166271","https://openalex.org/W2102766308","https://openalex.org/W2105174364","https://openalex.org/W2108745803","https://openalex.org/W2117763561","https://openalex.org/W2141284791","https://openalex.org/W2143421424","https://openalex.org/W2143776976","https://openalex.org/W2162498245","https://openalex.org/W2167403361","https://openalex.org/W6637978685","https://openalex.org/W6654460058","https://openalex.org/W6669992580","https://openalex.org/W6676245398"],"related_works":["https://openalex.org/W2925090727","https://openalex.org/W3211638357","https://openalex.org/W2351909712","https://openalex.org/W2969411419","https://openalex.org/W2980372563","https://openalex.org/W2369735957","https://openalex.org/W2137055573","https://openalex.org/W2544660632","https://openalex.org/W2325135661","https://openalex.org/W4280634683"],"abstract_inverted_index":{"In":[0,28,109],"comparison":[1],"to":[2,18,33],"most":[3,88],"computer":[4,52],"aided":[5,53],"endoscope":[6,22],"diagnosis":[7,54],"methods":[8],"using":[9],"pixel-wise":[10,35],"groundtruth":[11],"by":[12],"physicians":[13],"manually,":[14],"it":[15],"is":[16,75],"easy":[17],"get":[19],"lots":[20],"of":[21,136],"images":[23],"with":[24,41,119],"corresponding":[25],"diagnostic":[26],"reports.":[27],"this":[29],"paper,":[30],"we":[31,49,64,112],"intend":[32],"mine":[34],"label":[36],"information":[37],"from":[38,91],"these":[39],"reports":[40],"weak":[42],"frame-level":[43,100],"labels":[44],"automatically.":[45],"To":[46],"achieve":[47],"this,":[48],"formulate":[50],"our":[51,137],"problem":[55,102],"as":[56,68,77],"a":[57,104,114],"Multiple":[58],"Instance":[59],"Learning":[60],"(MIL)":[61],"issue,":[62],"where":[63],"represent":[65],"each":[66,73],"image":[67,71,117],"superpixels.":[69],"Each":[70],"and":[72,79,85,126],"superpixel":[74],"cast":[76],"bag":[78],"instance,":[80],"respectively.":[81],"We":[82],"then":[83],"evaluate":[84],"select":[86],"the":[87,99,110,129,134],"positive":[89,92],"instances":[90],"bags":[93],"automatically":[94],"which":[95,132],"helps":[96],"us":[97],"transform":[98],"classification":[101],"into":[103],"standard":[105],"supervised":[106],"learning":[107],"problem.":[108],"experiment,":[111],"build":[113],"new":[115],"gastroscopic":[116],"dataset":[118],"more":[120],"than":[121],"3000":[122],"weakly":[123],"labeled":[124],"images,":[125],"ours":[127],"outperforms":[128],"state-of-the-art":[130],"methods,":[131],"verifies":[133],"effectiveness":[135],"model.":[138]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
